Background Human-centric software engineering activities, such as requirements
engineering, are prone to error. These human errors manifest as faults. To improve software …

The purpose of this paper is to empirically examine a theoretical model which identifies the
effect of process quality improvement and lean practices on competitive performance in the …

Software Quality Assurance (SQA) planning aims to define proactive plans, such as defining
maximum file size, to prevent the occurrence of software defects in future releases. To aid …

Machine Learning approaches are good in solving problems that have less information. In
most cases, the software domain problems characterize as a process of learning that …

Software systems are increasingly being used in business or mission critical scenarios,
where the presence of certain types of software defects, ie, bugs, may result in catastrophic …

Designing and understanding of diagrammatic representations is a critical issue for the
success of software projects because diagrams in this field provide a collection of related …

Most of the software projects fail to meet the desired level of quality and standards due to
different types of defects introduced during the course of requirement solicitation, designing …

Software defects due to coding errors continue to plague the industry with disastrous impact,
especially in the enterprise application software category. Identifying how much of these …

Software metrics offer a quantitative basis for predicting the software development process.
In this way, software quality can be improved very easily. Software quality should be …

Machine learning techniques can be used to analyse data from different perspectives and
enable developers to retrieve useful information. Machine learning techniques are proven to …