What is link encryption method?

- Link encryption method is one of the classic methods used in the digital communications for the application of the crypto.

- Link encryption method has been designed for hiding the secrets and preventing the forgery of data. 

- It is quite a simple concept that has been discussed here and it fits for all the types of existing applications and software used in the communication.  

- Even though this method does not works well enough for most of the applications, it is the simplest of all. 

- Link encryption method is a security measure that should be used only if your security objectives match with those of the link encryption method. 

- It is commonly used in the applications where a boundary has to be maintained between the internal users and the external users. 

- With the link encryption it gets easy for the internal users to share data whereas it is just the opposite for the external users. 

- It provides transparent protection except for the separation that is maintained between the two classes of the users. 

Below we mention some security objectives that can be met with the link encryption:

Ø  Maintaining confidentiality: Our systems of course store very sensitive data. While exchanging the data with other systems, it is required that the risk of leakage involved should be as minimum as possible.

Ø  Communication with the outsiders: Obviously, we do not want to share our data with the unwanted outsiders and unauthorized sites and so we want these to be blocked. Such exchanges should be prevented from happening even by carelessness or accident.

Ø  Hiding data traffic: As much as possible we want our data and its details to be shielded from the outsiders. This data might contain information about the destination host and other info necessary for communication control. However, here it is assumed that the information will not be leaked by the insiders.

Ø  Familiarity and safety: We rank these two factors above the cost.

Ø  Protection of the data transfers: We need protection for our data against any sort of tampering or forgery by the outsiders during the transition. An assurance is important.  This objective is unconditionally met by this link encryption method.

- From security standpoint, a design is yielded by the link encryption that is highly reliable. 

- If in your organization some security parameter has been established that is strong enough, link encryption is the best technique for its maintenance. 

- A strict control is kept over the flow of physical documents through this security parameter. 

- The link encryption provides a complementary protection for the flow of the electronic documents. 

- We can have an environment with every data link that traverses the boundary having encryptors. 

- The documents will be kept within the parameter limits. 

- The data leaving the parameter will be protector by means of the encryptors. 

- Link encryption method is being used since years in banking organizations and military communications for providing secure links. 

- The link encryption uses the in-line encryptors as its building blocks.

- This hardware devices takes plain text and converts it into cipher text.

The encryptors have their own vulnerabilities as mentioned below:

Ø  Rewrite attacks: It is also known as the plain-text attack, it is used for forging the messages. Few crypto algorithms are vulnerable to these attacks.

Ø  Replay attacks: Most of us think that the encrypted data is self-validating and so by matching the encryptor with its keys a sensibly de-crypting message can be generated. Since the encrypted data is accessible to the outsiders, they can also access the message that decrypts sensibly.

Ø  Covert signaling attacks: This attack is based on the idea that there is always a way to leak info if there exists an internal process that tries to do so. 

What is meant by multi-destination routing?

- So many routing algorithms have been devised to aid in routing under different conditions.
- Effective routing algorithms have been developed that are capable of routing the messages from one source node to a number of receiving nodes i.e., the multiple destination nodes.
- These algorithms are termed as the multi – destination routing algorithms and the process is therefore called as the multi – destination routing.
- This type of routing has been developed for the minimization of the cost of the network i.e., NC (network cost).
- Network cost can be defined as the sum of all the links’ weights that consist of the routing path.
- There are many heuristic algorithms available for determining the NC min path.
- This problem falls under the category of the NP – complete problems.
- Heuristics are available for the traveling salesman problem and MST (minimum spanning tree) variations.
- Global information is used by both of them.
- Another set of such heuristics is available that uses only shortest paths for reaching the destinations.
- The best worst case performance is exhibited by the MST algorithm.
- However, one study revealed that effectiveness of the simpler heuristics is higher.
- The network cost (NC) is often compared with the destination cost (DC).
- Destination cost is the sum of the cost of all the shortest paths that lead to the destination.
- A scheme of algorithms has been developed for trading off between these two costs i.e., the NC and DC.  
- The sender of the transmitted data cannot be taken as a single node in a network where the cooperative communication is supported.
- This asks for the re-investigation of the traditional link concept.
- Any routing scheme thus depending up on this link concept needs to be reconsidered.
- Also, the potential performance gain resulting because of the cooperative communication needs to be exploited.

- Routing often gets complicated for some networks where the selection of the paths is no longer the job of a single entity.
- Rather, a number of entities are involved in the selection of the paths.
- Multiple entities can even select specific parts of a path.
- If these selected paths are chosen by the entities for their own objectives optimization then it can lead to inefficiency or serious complications in the network since they may or may not conflict with the other entities’ objectives.
- This would become clear from the following example, consider traffic moving in a system of roads.
- Now here each driver selects a path that would minimize only his/her traveling time.
- In this kind of routing, there are longer equilibrium routes (i.e., longer than the optimal.) for almost all other drivers.
- This is often termed as the Braess paradox.
- Another example is of the routing the AGVs (automated guided vehicles) by a model on some terminal.
- For prevention of the simultaneous usage of the infrastructure’s same part reservations are made. - This is called as the context – aware routing.
- The internet is divided in to a number of divisions which are nothing but Ass i.e., the autonomous system like ISPs.
- All these systems have control over the routes that lie in their own network at various different levels.

Following steps are involved in multi – destination routing:
1. The BGP protocol is used for selecting the AS – level paths.
2. A sequence of autonomous systems is produced by the BGP protocol via which the packet flow will take place.
3. The neighboring Ass offer multiple paths for each of the AS from which it can choose. Paths are selected based up on the relationships between the neighboring systems.
4. Each selected path refers to multiple corresponding router level paths.

Working with different UI elements for translation ..

When you look to make your product available in many languages, or when you are looking to extent the availability to a new language, there is the need to do an effort estimation. After all, there is a cost involved with ensuring that your product is available in a new language; with these costs being:
- Cost of manipulating your code to ensure that it can support the new language (for example, if you want to have your product available in Arabic, you need to ensure that your product support the right-to-left style that is supported by Arabic, rather than the convention left-to-right that is supported by English and most other languages). There are other areas in the code which may need to be manipulated before the product can be available in the new language.
- Cost of translation of the application. This involves translation of all the UI elements in the application (and in the second half of this post, I will provide more details of what this means).
- Cost of doing an initial testing of the application in the new language to ensure that you have identified places where the translation needs to be done (this is different from the more detailed testing that needs to be done once all the translated elements are put into the application)
- Functional and linguistic testing that needs to be done to ensure that the application works properly in the new language. You would wonder as to why the translated application needs to have functionality testing, after all, there is no change in functionality. However, there is a lot that can go wrong from a functional perspective during the translation process. Once we had a case where the parameter for the new language was being passed incorrectly, which meant that the application was not working in a specific area, and this was caught during the functional testing and quickly corrected.
- If the application uses external components, then it is needed to be ensured that all these external teams either already support the new language, or provide the required support in your scheduled time.

Once you have worked out all these effort estimates, you need to get onto the actual effort involved with translation, and this can be tricky. There are different UI elements that need translation, with different levels of effort required for these translations. For example:
- There are simple UI text elements. These need to be sent off to the translating team and received back. There is very little complexity in such elements.
- There are images that need translation. If the images have either a snapshot of a section of the application or something in text inside the image, then there is a problem. You need to get snapshots of the application with the new language, and that takes time and effort, but is not complex. However, if you have text within an image (supposed this is showing an image of a template), then you need to get the original image (typically a Photoshop format, a PSD) and then translate the text, and re-insert the new image. This is more complex, and if the application has been in existence for some time, the original image may even have been misplaced.
- If you have videos within the application, that either show instructions or show the application interface, then it gets more complicated. You may need to re-shoot the videos, and that can quickly turn out expensive. Similarly, if you use Flash Video within your application, you will need to generate them again.
- And then there is the complexity associated with languages where the length of the text in certain languages is more than that of the original language. So, when you consider conversions into say German or Japanese, the converted text would be longer than the original text and may not fit properly in the application. In such cases, either the translation has to be tweaked and made shorter, or the application needs to be tweaked to accept the longer text. In both cases, there is a lot of coordination and process.

What is optimality principle?

A network consists of nodes which require communicating with other on various grounds. This communication is established via communication channels that exist between them. The communication involves data transfers. In a network a node may or may not have a link with every other node in the network. 

Applications that require communicating over a network include:

1. Telecommunication network applications such as POTS/ PSTN, local area networks (LANs), internet, mobile phone networks and so on.

2. Distributed system applications

3. Parallel system applications

- As we mentioned above, each and every node might not be linked with every other nodes since for doing so a lot of wires and cables are required which will the whole network more complicated. 

- Therefore, we bring in the concept of the intermediate nodes. 

- The data transmitted by the source node is forwarded to the destination by these intermediate nodes. 

Now the problem that arises is which path or route will be the best to use i.e., the path with the least cost. 

- This is determined using the routing process. 

- The best path thus obtained is called the optimal route. 

- Today, we have a number of algorithms available for determining the optimal path. 

These algorithms have been classified in to two major types:

1. Non – adaptive or static algorithms
2. Adaptive or dynamic algorithms

Concept of Optimality Principle

- This is the principle followed while determining the optimal router between the two routes. 

The general statement of the principle of optimality is stated below:

“An optimal policy has the property that whatever the initial state and initial decision are, the remaining decision must constitute an optimal policy with regard to the state resulting from the first decision.”

- This means if P is an optimal state that results in another state say Q, and then the portion of the original from that state to this state i.e., from P to Q must be optimum. 

- This only means the optimality of the part of the optimal policy is preserved. - The initial state and the final state are the most important parts of the optimum. 

- Consider an example, suppose we have problem with 3 inputs and 26 states. - Here, the state is associated with the optimum and the total cost is associated with the optimum policy.

- If brute force method is used for 3 inputs and 100 stages we have the total number of computations as 3¹⁰⁰. 

- That means for solving this problem, a super computer is required.

- Therefore, the approach used for solving this problem is a parallel processing approach. 

- Here, for the each state the least step is computed and stored during the programming. 

- This reduces the number of possibilities and hence reducing the amount of computation.

- The problems become complex if the initial and the final states are undefined. - It is necessary for the problem to follow the principle of optimality in order to use the dynamic programming. 

- This implies that whatever the state may be, the decisions that follow must be optimal in regard with the state obtained from the previous decision. 

- This property is found in combinatorial problems but since they use a lot of time and memory, this method is inefficient for them. 

- These problems can be solved efficiently if some sort of best first search and pruning technique is applied.

- In regard to the routing in networks, it follows from the optimality principle if a router B lies between router A and C which lie on an optimal path, then the path between the router B and C is also an optimal path and lies on the same path. 

- Sink tree is formed as a result of all optimal routes which is the ultimate goal of all the routing algorithms.

What are advantages and disadvantages of artificial neural networks?

The artificial neural networks, since they can simulate the biological nervous system are used in many real life applications which are also their one of the biggest advantages. 

They have made it easy for carrying out complex processes such as:

Ø  Function approximation

Ø  Regression analysis

Ø  Time series prediction

Ø  Fitness approximation

Ø  Modeling

- With the artificial neuron networks, the classification based on sequence and pattern recognition along with other difficult things such as the sequential decision making and the novelty detection is possible. 

- A number of operations falling under the data processing category such as clustering, filtering, compression and blind source separation etc. are also carried out with the help of artificial neural networks. 

- Artificial neural networks can be considered as the backbone of the robotics engineering field. 

- They are used in computer numerical control and in directing the manipulators.

- It offers advantages in the following fields of:

1. System control (this including process control, vehicle control and natural resources management),
2. System identification,
3. Game – playing,
4. Quantum chemistry
5. Decision making (in games such as poker, chess, backgammon and so on.)
6. Pattern recognition (including face identification, radar systems, object recognition and so on.)
7. Sequence recognition (in handwritten text recognition, speech, gesture etc.)
8. Medical diagnosis
9. Financial applications i.e., in automated trading systems
10. Data mining
11. Visualization
12. E – mail spam filtering

- Today several types of cancers can be diagnosed using the artificial neural networks. 

- HLND is an ANN based hybrid system for detection of lung cancer. 

- The diagnosis carried out with this is more accurate plus the speed of radiology is more. 

- These diagnoses are then used for making some models based up on information of the patient. 

- Its following theoretical properties are nothing but an advantage to the industry:

1. Computational power: It provides a universal function approximator i.e., the multilayer perceptron or MLP.
2. Capacity: This property indicates about the ability of ANN to model almost any given function. It has a relation with both the notion of complexity and information contained in a network.
3. Convergence: This property is dependent on a number of factors such as:

Ø  Number of existing local minima which in turn depends up on model and the cost function.

Ø  Optimization method used

Ø  Impracticality of few methods for a large amount of parameters.

4. Generalization and statistics: Over training is quite a prominent problem in the applications where it is required to create a system that is capable of generalizing in unseen examples. This in turn leads to problem of the over specified or the convoluted systems along with the network exceeding the limit of the parameters. There are two solutions offered by ANN for this problem:

-   Croos – validation and

-   Regularization

Disadvantages of Artificial Neural Networks

1. It requires a lot of diverse training for making the artificial neural networks ready for the real world operations which is a drawback more prominent in the robotics industry.

2. Many storage and processing resources are required for implementing large software neural networks using ANNs.

3. The human has the ability to process the signals via a graph of neurons. A similar simulation of even a very small problem can call for excessive HD and RAM requirements.

4. Time and money cost for building ANNs is very large. 

5. Furthermore, simulation of the signal transmission through all the connections and associated neurons is required.     

What is meant by Time sharing system?

In the field of computer science, sharing resources of a computer through techniques of multi-tasking and multi-programming by many other system users is termed as a time sharing system. 

- It was first introduced in the year of 1960 and eventually emerged as the most popular computing model of the 1970s. 

- With it, occurred a major shift in the technology of designing the efficient computers. 

- These types of systems allowed quite a large number of users for interacting with the same computer system at the same time. 

- Providing computing capabilities was a costly affair at that time. 

- Time sharing greatly brought down this cost by providing these capabilities at a very less cost. 

- Since time sharing allows multiple users to interact simultaneously with the same system, it has actually made it possible for the organizations and the individuals to use a system that they do not even own. 

- This has further led to the promotion of the computers to be used interactively and development of other applications with an interactive interface. 

- The earlier systems apart from being expensive were quite slow. 

- This was the reason why the systems could be dedicated only to one task at a time. 

- The task was carried out through the control panels from where the operator would enter small programs manually through switches so as to load and execute a new program series. 

- These programs would take even up to weeks for completing execution. 

- The realization of the interaction pattern was what that led to the development of time sharing systems. 

- Usually, the data entered by a single user was in small bursts of info and then a long pause. 

- But if there would have been multiple number of users working concurrently on the same system, there activities could fill up the pauses of the single user. 

- The overall process could be made very efficient for a given size of the use group. 

- In the same way, the slice or share of time that was engaged in waiting for network input or tape or disk could be utilized by activities of other users. 

- A system that would be able to harness this potential advantage was difficult to be implemented.

- Even though batch processing was a high at that time, it could only make use of the time delay between two programs. 

- In the early times, the multiplexing of computer terminals in to main frame computer systems was seen.

- Such implementations were capable of sequentially polling those terminals to check for additional action and data requests made by the user of the system.

- Later, came the interconnection technology that was interrupt driven and made use of the IEEE 488 i.e., parallel data transfer technologies.

- Time sharing faded for some time with the advent of the micro computing but again it came back in to the scene with the rise of internet. 

- The corporate server farms cost in millions and are capable of hosting a large number of customers sharing the same resources.

- The operation of the websites using the early serial terminals was in bursts of activity that were followed by idle periods. 

- However, it is because of this bursting that the services of the web sites could be used by a large number of users simultaneously and with the advantage that the delays in communications won’t be noticed by them.

- However, if the server gets too damn busy they will surely start coming in to the notice.

- Earlier some time sharing services such as the service bureaus were offered by many companies. 

- Some examples of common systems that are used for time sharing are:

1. SDS 940
2. PDP – 10
3. IBM 360

What is meant by Dynamic Virtual Private Network?

Dynamic virtual private network or DVPN is a network used for interconnecting various virtual application networks. 

- These networks reduce the need for manual configuration by a large percentage (almost by 93 %). 

- Dynamic virtual private networks help a great deal in the simplification of the wide area connectivity spread across a virtual application network.

- These networks have a great complexity when compared to the other networks.

- Further, they prove useful in establishing interconnections between various campuses, data centers, and offices and so on via IPsec VPN encryption. 

- The solution offered by the DVPNs is quite scalable, simple and secure. 

- The dynamic virtual private networks are highly automated and therefore provide a simple management solution. 

- A DVPN can scale up to 1000 – 3000 sites on a single router. 

- All these sites together constitute the domain of the DVPN. 

- So it is obvious that a very large network can be scaled via multiple DVPNs. 

- The best thing about these DVPNs is that they support all the WAN technologies and therefore can be implemented up on all.

- Furthermore, they offer flexibility in reducing the cost when compared to the lower cost broadband access.

- All the network operations are simplified since DVPN has automated VPN setup plus provisioning.

- DVPNs offer high resilience without adding to the complexity of the network. 

- Another characteristic feature of a dynamic virtual private network is its carrier agnostic connectivity.

- One solution to DVPN is offered by HP that has got the following features:

1. Full mesh or hub – spoke configuration
2. Encryption based up on IPsec standards.
3. The control plane and the data plane have been separated to ensure scalability.
4. Up to 30,000 clients are supportable by the VAM (VPN address management) server.
5. Offers zero touch configuration.

- Another solution is offered by the Juniper networks. 

- Juniper’s DVPN is more of a client-less solution and has been designed for ‘remote access’ IPsec VPN. 

- The delivery of the client to the end users is made dynamically from SRX. 

- The remote access is simplified by DVPN since it provides the users the facility to secure the IPsec VPN tunnels without any need for configuring the VPN settings on their systems. 

- This whole process comes in to when the users login to the server’s web site. - Juniper’s DVPN solution can be licensed to 5, 10, 25 or 50 concurrent users. 

- It supports windows xp and above versions (both 32 and 64 bit).

- However, there are certain limitations for this solution:

1. It requires an external RADIUS server for providing an IP address and for XAUTH.
2. Does not support shared IKE id.
3. Mandatory PFS (perfect forward secretary).
4. Requires custom IKE/ IPsec security proposals.
5. Only IKE – id supported is the FQDN.

- Configuration for DVPN is required only on the SRX gateway.

- Dynamic virtual private network is more of an intranet enabler whose purpose is to complement the regular services offered by the internet by adding more services as well as resources to it. 

- One major feature of these networks is that they have an excellent ability of loading balance on – the – fly allocation of the resources. 

- These networks are more popular in businesses since they offer more security by means of packet encryption protocols. 

- Self – modification is possible for the DVPNs and so they are able to recognize the added nodes without help from routers.

- Encryption and authentication are two technologies used by DVPNs for securing packing data and delivering across the networks. 

- Until the data reaches it destination it remains unpacked or encapsulated. 

- For reaching the remote networks tunneling is used. 

What is Testing Anywhere software product? What are its uses?

Testing anywhere software product was developed by the Automation Anywhere Inc. based in San Jose. This is another software in the category of test automation tools. This software has proven to be a boon for the software testers and developers who have to test the web sites, applications, GUI front-ends, objects and controls. The product has got many uses from recording to the execution of the test cases. It is used for the following major purposes:

1. Recording of the tests
2. Debugging them
3. Scheduling their execution
4. Executing the tests

The above mentioned operations can be carried out for a number of application types such as:

1. Java
2. Silverlight
3. Mainframe
4. C++
5. .NET and so on.

Testing anywhere product provides option for automating the test case creation. Testing anywhere offers you 5 different methods for creating the test cases namely:

1. Web recording
2. Object recording
3. Image recognition
4. Smart recording and
5. Editor

- The test cases thus created using any of the above methods can be later recorded, edited, saved and can also be enhanced. 

- The editor is used for editing the test cases. 

- People who don’t have programming skills can use the wizard for creating and editing the test cases. 

- Testing anywhere software lets you create files with .exe extension i.e., the executable files which later can be deployed by the software testers on remote machines. 

- The creation of a high level IT and business processes is the responsibility of the workflow manager. 

- Further, workflow manager only takes care of the ability by virtue of which these processes are managed. 

- It supports a number of platforms:

1. Microsoft windows 7 (both 32 and 64 bit)
2. Microsoft windows vista (both 32 and 64 bit)
3. Microsoft windows XP (both 32 and 64 bit and along with service pack 2)
4. Microsoft windows server 2008 R2
5. Microsoft windows server 2003

- Testing anywhere supports the following kinds of testing:

1. Integration testing
2. Compatibility testing
3. Performance testing
4. GUI testing
5. System testing
6. Java application testing
7. Automated flex testing
8. Silverlight application testing
9. Mainframe application testing
10. WPF testing
11. Third party .NET supported testing
12. Automated software testing
13. Automated web testing
14. Regression testing
15. Distributed testing
16. Functional testing
17. Black box testing
18. Acceptance testing
19. Unit testing
20. Keyword driven testing
21. Data driven testing
22. Smoke testing

- The product has been named because of the facility that it provides for running the tests on any remote machine present in the network. 

- Further, it reduces the testing cost by a huge margin since it cut down the money being spend up on the software licenses, resources, and training and time of course.

- Testing anywhere provides you a SMART recorder for creating new tests.

Explain IBM Rational Automation Framework?

What is Rational Automation Framework?

- Rational automation frame work is a tool developed by IBM using which control can be gained over the middle-ware environments.
- It is also used for the automation of the deployment tasks and complex administration.
- This automation frame work is highly customizable.
- Using it, one can obtain automated build – outs.
- Using it, one can even deploy a number of applications and manage the configuration of the application.
- It has been recorded that with the use of rational automation frame work, you can cut down the operational costs by huge margins and production can be improved.
- This automation frame work can be extended.
- The rational automation frame work provides a rich automation support for the following:
1. Web sphere middleware
2. JBoss application server
3. Web logic application server

Features of Rational Automation Framework

The following are features of the rational automation frame work:
1. Increases the productivity while reducing the staffing needs of the routine tasks. The routine tasks included are:
a) Automation of the manual operations
b) Error prone tasks
c) Freeing up the admin resources which are scarce.
All these tasks help in focusing up on strategic projects.

2. It helps in the improvement of application’s quality, consistency and speed. All these three factors are used to deliver applications that are business critical with the help of process which possesses the following three qualities namely accuracy, consistency and repetition.

3. It helps in the reduction of the cost of compliance, IT governance and disaster recovery. It improves the following 3 things without causing any overheads:
a) Governance
b) Disaster recovery planning and
c) Automated documentation for compliance

4. It automates the below mentioned things:
a) Environment build – outs
b) Configuration management
c) Application deployment tasks
For the following portfolio:
a) Web sphere foundation
b) Web sphere BPM suite
c) Web sphere portal

5. It is a great means for extending the automation benefits as well as qualities of services to the following:
a) Web sphere connectivity (web sphere message broker and MQ)
b) Red hat JBoss application server
c) Oracle web logic application server
This it does via the MidVision extensions to IBM RAF.

6. Helps in facilitating team – based administration with the help of a robust automation engine with improved reliability and performance.

7. Makes sure that the virtual patterns are efficiently managed with rapid provisioning with web sphere cloud burst appliance.

8. Enhances the control and workflow management in data center environments by integrating it with LDAP directories, source control tools, and rational asset manager.

This product comes with extensions that assist in the management of the additional middle-ware environments such as WMB, MQ, Jboss and web logic etc. These environments are managed with the same QoS and automation platform. The web sphere cloud burst appliance of the rational application developer helps in speeding up the virtualization environments with hyper-visor images.

We shall now state some of the features and their benefits:
1. It is a data driven and centralized automation frame work: it helps in ensuring that the appropriate data is being associated with the appropriate application and in the right environment every time.
2. It has got a rich user interface. The middle-ware configuration data can be designed, edited and managed using this frame work. New configurations can be added to a cell.
3. It is also an environment generation wizard that can also be used for specifying the criteria for a particular environment.
4. This product comes with self – documentation feature which ensures that the appropriate deployment information is captured and artifacts are properly managed.
5. Agent less technology
6. Customizable
7. Deployment artifacts are separated from the deployment process.

Transition Phase - One of the phase of Rational Unified Process

There are 4 phases which together constitute the rational unified process namely:

1. Inception phase
2. Elaboration phase
3. Construction phase
4. Transition phase

The above mentioned phases are responsible for the representation of the rational unified process at the highest level in the way which is similar to waterfall model representation but the difference is that the key for the rational unified process lies in the development iterations which form an integral part of all the phases of the rational unified process. 

Also, each of the four phases of the rational unified process are characterized by two things namely the objective and the milestone. The objective drives the whole phase from the beginning to the end and the milestone concludes the end of it. 

The phase is said to be complete with successful result if and only if it passes the milestone since this only marks the conclusion of the phase. All of the phases of the rational unified process are visualized in the form of a chart called the RUP hump chart which is drawn over the course of the whole process. 

In this article we shall discuss exclusively about the fourth phase of the rational unified process i.e., the transition phase. 

Objective of Transition Phase

- The primary objective with which the transition phase is driven is “to transit the software system or application” from the phase of development in to the actual phase of production. 

- This also extends the availability of the software system or application to the end user in such a form that it is understandable by the end user. 

- This phase involves the below mentioned activities:

1. Training the end users
2. Training the maintainers as well.
3. Carrying out beta testing on the software system or application for validating it against the expectations of the end users.
4. Checking the software product against the quality level that was set in the inception phase.

- When all the objectives are said to be accomplished, the software system or application is said to reach the ‘product release milestone’ and the development cycle is said to be concluded.

- This fourth phase of the rational unified process does the fine tuning of the software product.

- It is based on the feedback from the user and the software product is made ready for the release. 

- The transition phase is basically focused on the availability of the software system or application to the end users.

- The transition phase often involves the spanning of the several iterations. 

- The software product is tested in order to prepare it for the release and also minor adjustments are made as per the feedback provided by the end users. 

- When this point in the software development life cycle is reached, it is required that the feedback from the end user should be majorly focused up on the following issues:

1. Fine tuning of the software system or the application.
2. Configuration of the product
3. Installation issues
4. Usability issues

- By this time, almost all the major issues of the product structure should have been worked out in the earlier phases of the software development life cycle. 

- The product release milestone can be defined as a point where it is decided that all the objectives of the project have been met and whether or not another development cycle is required. 

- The basic and majority of the evaluation as well as the refinement of the software system or application is done based up on the feedback from the user.

- This can be considered to be a kind of fine tuning exercise for the software system since the system has already met the requirements of the users as it is driven by the use cases. 

- At the end, a final evaluation is done and accordingly the project is released to the public or is considered for another development cycle.