Development of an intelligent agent for analysis of nonfunctional characteristics in specifications of software requirements

Abstract

one third of all software projects are successful, reliable and worth spending. Multitudes of errors creep into software at the initial stages of its lifecycle. Vast majority of software-related accidents occur because of errors in specifications of requirements [2]. Software projects with requirement specifications containing insufficiently accurate, incomplete and contradictory information cannot be successful in realization [3]. In addition, the earlier the defect (error, violation, drawback, malfunction) is revealed the cheaper its correction. There-6

Software quality model based on development team characteristics

“…There are several definitions of quality, including compliance with specifications and requirements [3], [4], customer satisfaction [5], [6], reliable and durable products [7], and so on. But in the meantime, there is a complete definition of quality as expressed by IEEE, software quality can be defined as the degree to which a system, component, or process meets specified requirements and the degree to which a system, component, or process meets customer or user needs or expectations [8]- [11].…”