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Custom Development:

We can do the entire Software Development Life Cycle (SDLC) of the project or assist in any part thereof. Our team works effectively from gathering business requirements through systems analysis, design, development and implementation. Our team can work in variety of technologies like Java, J2EE and Microsoft Technologies like Dot Net, C# and Oracle.

Best practices of SDLC:

1. Development process - It is important to choose the appropriate development lifecycle process to the project at hand because all other activities are derived from the process. For most modern software development projects, some kind of spiral-based methodology is used over a waterfall process. Having a process is better than not having one at all, and in many cases it is less important on what process is used than how well it is executed.

2. Requirements - Gathering and agreeing on requirements is fundamental to a successful project. This does not necessarily imply that all requirements need to be fixed before any architecture, design, and coding are done, but it is important for the development team to understand what needs to be built. Quality requirements are broken up into two kinds: functional and non-functional. A good way to document functional requirements is using Use Cases. Non-functional requirements describe the performance and system characteristics of the application. It is important to gather them because they have a major impact on the application architecture, design, and performance.

3. Architecture - Choosing the appropriate architecture for your application is key. Our consultants can work side by side with your team and ensure that the projects get started on the right track. Many projects fail as discussed in the introduction. The study of these failures has given rise to the concept of antipatterns. They are valuable because they provide useful knowledge of what does not work, and why.

4. Design - Even with a good architecture it is still possible to have a bad design. Many applications are either over-designed or under-designed. The two basic principles here are "Keep it Simple" and information hiding. For many projects, it is important to perform Object-Oriented Analysis and Design using UML. Code reuse is but one form of reuse and there are other kinds of reuse that can provide better productivity gains.

5. Web application design – We have expert web designer to design the extra ordinary web application. There is still a tremendous return on investment (ROI) even if you only use the consultants for a short time because you save the costs later in the project..

6. Construction of the code - Construction of the code is a fraction of the total project effort, but it is often the most visible. Other work equally important includes requirements, architecture, analysis, design, and test. In projects with no development process (so-called "code and fix"), these tasks are also happening, but under the guise of programming.

7. Peer reviews - It is important to review other people's work. Experience has shown that problems are eliminated earlier this way and reviews are as an effective or even more effective than testing. Any artifact from the development process is reviewed, including plans, requirements, architecture, design, code, and test cases.

8. Testing - Testing is not an afterthought or cutback when the schedule gets tight. It is an integral part of software development that needs to be planned. It is also important that testing is done proactively; meaning that test cases are planned before coding starts, and test cases are developed while the application is being designed and coded. There are also a number of testing patterns that have been developed.

9. Performance testing - Testing is usually the last resort to catch application defects. It is labor intensive and usually only catches coding defects. Architecture and design defects may be missed. One method to catch some architectural defects is to simulate load testing on the application before it is deployed and to deal with performance issues before they become problems.

10. Configuration management - Configuration management involves knowing the state of all artifacts that make up your system or project, managing the state of those artifacts, and releasing distinct versions of a system. There is more to configuration management than just source control systems.

11. Quality and defects management - It is important to establish quality priorities and release criteria for the project so that a plan is constructed to help the team achieve quality software. As the project is coded and tested, the defect arrival and fix rate can help measure the maturity of the code. It is important that a defect tracking system is used that is linked to the source control management system.

12. Deployment - Deployment is the final stage of releasing an application for users. If you get this far in your project - congratulations! However, there are still things that can go wrong.

13. System operations and support - Without the operations department, you cannot deploy and support a new application. The support area is a vital factor to respond and resolve user problems. To ease the flow of problems, the support problem database is hooked into the application defect tracking system.

14. Data migration - Most applications are not brand new, but are enhancements or rewrites of existing applications. Data migration from the existing data sources is usually a major project by itself. This is not a project for your junior programmers. It is as important as the new application. Usually the new application has better business rules and expects higher quality data. Improving the quality of data is a complex subject outside the scope of this article.

15. Project management - Project management is key to a successful project. Many of the other best practice areas described in this article are related to project management and a good project manager is already aware of the existence of these best practices.

16. Measuring success - You can measure your development process against an industry standard known as the Capability Maturity Model (CMM) from the Software Engineering Institute at Carnegie Mellon University. Most projects are at level 1 (initial).