Applying Case-Based Reasoning to software requirements specifications quality analysis system

• Main Author: Jani H.M.
• Other Authors: 13609136000
• Format: Conference Paper
• Published: 2023
• Subjects: Case-Based Reasoning; Quality analysis; Software requirements specifications; Case based reasoning; Data mining; Quality assurance; Quality control; Requirements engineering; Software design; Specifications; Stimulated Raman scattering; AI techniques; CBr; Online quality; Requirements specifications; Research papers; Software development cycles; Software quality assurance; Software requirements; System requirements; Computer software selection and evaluation

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.