DocumentCode
525721
Title
Applying Case-Based Reasoning to software requirements specifications quality analysis system
Author
Jani, Hajar Mat
Author_Institution
College of Information Technology, Universiti Tenaga Nasional, Km. 7, Jalan Kajang-Puchong, 43009 Kajang, Selangor Darul Ehsan, Malaysia
fYear
2010
fDate
23-25 June 2010
Firstpage
140
Lastpage
144
Abstract
Software Requirements Specifications (SRS) or software requirements are basically an organization´s understanding of a customer´s system requirements and dependencies at a given point in time. This research paper focuses only on the requirements specifications phase of the software development cycle (SDC). It further narrows it down to analyzing the quality of the prepared SRS to ensure that the quality is acceptable. It is a known fact that companies will pay less to fix problems that are found very early in any software development cycle. The Software Quality Assurance (SQA) audit technique is applied in this study to determine whether or not the required standards and procedures within the requirements specifications phase are being followed closely. The proposed online quality analysis system ensures that software requirements among others are complete, consistent, correct, modifiable, ranked, traceable, unambiguous, and understandable. The system interacts with the developer through a series of questions and answers session, and requests the developer to go through a checklist that corresponds to the list of desirable characteristics for SRS. The Case-Based Reasoning (CBR) technique is used to evaluate the requirements quality by referring to previously stored software requirements quality analysis cases (past experiences). CBR is an AI technique that reasons by remembering previously experienced cases.
Keywords
Artificial intelligence; Costs; Educational institutions; Information analysis; Information technology; Programming; Software quality; Software standards; Software systems; Testing; case-based reasoning; quality analysis; software requirements specifications;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
Conference_Location
Chengdu, China
Print_ISBN
978-1-4244-7324-3
Electronic_ISBN
978-89-88678-22-0
Type
conf
Filename
5542935
Link To Document