Change happens. The problem is managing that change successfully in an ever-increasingly complex environment, especially when there’s a geographically distributed team handling high volumes of digital assets and activity requests coming from multiple stakeholders.
Software Change Management solution allows development organizations to control, communicate and respond more effectively to rapidly changing business demands. Furthermore, these integrated configuration and change management capabilities can be easily expanded across all phases of the application development lifecycle, including IT project and portfolio management, requirements definition & management (RDM), analysis and design, and testing and ASQ. The result is better visibility, increased responsiveness, greater predictability and improved software applications and systems.
System Architecture Design
Choosing the appropriate architecture for your application is key. Mostly all the troubled projects have incorporated bad designs and the development team did not apply well-known industry architecture best practices. A good way to avoid this type of problem is to use patterns and they range from the classic Gang of Four patterns, Java patterns, to EJB design patterns. Sun's equivalent is the Core J2EE Patterns catalog. Many projects fail as discussed in the introduction. The study of these failures has given rise to the concept of ant patterns. They are valuable because they provide useful knowledge of what does not work, and why.
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. There are many books on UML, but we recommend UML User Guide and Applying UML and Patterns. Reuse is one of the great promises of OO, but it is often unrealized because of the additional effort required to create reusable assets. Code reuse is but one form of reuse and there are other kinds of reuse that can provide better productivity gains.
Data Architecture Design
Data Architecture Design includes storage, accumulation, retention, archival, maintenance, and transfer of data within the system and between various systems within or outside the organization. This requires ensuring that data elements, reflecting the enterprises' functional and technical vocabulary, are organized into a standardized data dictionary that accommodates the breadth of business activities performed. The team evaluates the type of data stored to determine commonality, uniqueness, redundancy and efficiency and provides an assessment that lays the foundation for an enterprise data architecture, which supports the application development efforts and streamlines the design process.
It is important to review other people's work. Code review is systematic examination (often as peer review) of computer source code intended to find and fix mistakes overlooked in the initial development phase, improving both the overall quality of software and the developers' skills. Experience has shown that problems are eliminated earlier this way and reviews are even more effective than testing. Any artifact from the development process is reviewed, including plans, requirements, architecture, design, code, and test cases. Peer reviews are helpful in trying to produce software quality at top speed.
Writing Quality code
Ensure quality from the start. Quality is not something that can be easily added later. Problems that are too complex, too obscure, or are discovered too late in the product cycle are usually not fixed. The following topics describe principles and procedures for improving code quality.