Quality Assurance Techniques in SRS Documents

Abstract

For development of software, the most important aspects are the software requirements. They are the foundation stone for initiating any software development process. Software requirements documents contain the needs of the customers in natural language. By using various methods like reviews, inspections, walkthroughs, the content of the software requirement can be checked manually to reduce ambiguity. In recent years there is an attempt to automate these activities as a result of advancement in automation of natural language analysis. Automation of text mining techniques and text analysis is leading to feasibility of automation of requirements documents processing. The process can be completed in minutes now which were taking weeks earlier. Automation of analysis of text has triggered numerous possibilities for quality assurance of requirements. The possibilities of automation are model checking automation, automated rule checking, automated test case execution and measurement automation. In future more tools will enter the scene for automation of requirements quality assurance. At present most of them are in experimental stage. There is a definite need for more research in this field.