AiSQA-2019

Workshop on Application of Artificial Intelligence in Software Quality Assurance, 2019 aims at gathering researchers and practitioners to discuss the progress of artificial intelligence in software quality assurance domains.

Aims and Scope

Prediction and early identification of classes or software artifacts having software quality issues is important for a project team so that that they can focus their preventive maintenance efforts such as testing, peer-reviews and source code refactoring on risky regions within the software system. Prediction of software quality related issues such as faulty classes, change proneness classes, refactoring classes, is an area which has attracted the attention of several researchers.

Workshop on Application of Artificial Intelligence in Software Quality Assurance will focus on providing the educators, researchers and industry practitioners a platform to exchange and discuss their experiences related to applications of Artificial Intelligence in software engineering domain. Broadly, this workshop provides a forum for reporting on past experiences, describing new and emerging results and techniques, and exchanging ideas on best practice and future directions in the domain of artificial intelligence and software quality assurance.