Requirements have always been acknowledged as the backbone of any system. However, in many past development efforts, requirements were paid little heed. At NASA, in recent years, the hue and cry for project development has been “Faster, Better, Cheaper and Safer”. This has impacted the way we develop software; it has increased the risks to quality, safety and reliability. At NASA, the Software ...

Many software projects fail because early life-cycle defects such as ill-defined requirements are not identified and removed. Therefore, quality assurance (QA) techniques for defect detection and prevention play an important role. The effectiveness and efficiency of QA approaches has been empirically evaluated. In this paper we discuss QA techniques optimized for requirements negotiations. In p...

Context: Bad requirements quality can cause expensive consequences during the software development lifecycle, especially if iterations are long and feedback comes late. Objectives: We aim at a light-weight static requirements analysis approach that allows for rapid checks immediately when requirements are written down. Method: We transfer the concept of code smells to Requirements Engineering a...

Software Quality assurance is an important aspect of product development. Unlike the other engineering disciplines, software quality assurance does not have control [1]. The main objectives of SQA are acceptable levels of confidence, conformance to functional and technical requirements. It assures the acceptable levels of scheduling and budget requirements. This paper describes quality aspects ...

Software Quality Assurance is a planned and systematic set of activities necessary to provide adequate confidence that requirements are properly established and products or services confirm to specified standards. Successful software engineering strongly depends on the delivery of high quality software. In the present paper, we compare Capability Maturity Model (CMM) and Extreme Programming (XP...

We present a design process for incorporating data quality requirements into database schemas that is rooted in goal-oriented requirements analysis techniques, developed in the Requirement Engineering community over last 15 years. Goal-oriented approaches (i) offer a body of notations, techniques and processes for modeling, analyzing and operationalizing quality requirements; (ii) support repre...