This review discussed the dilemma of small data faced by materials machine learning. First,
we analyzed the limitations brought by small data. Then, the workflow of materials machine …

Background Software fault prediction is the process of develo** models that can be used
by the software practitioners in the early phases of software development life cycle for …

Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

This paper presents a comparison of sequential and integrated planning for the production
routing problem, in which production, inventory, and routing decisions must be made. The …

Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic map** to analyze all the software …

Correctly adhering to the processes within the software development life cycle (SDLC), from
analysis and design to coding and testing, is vital for ensuring the successful and efficient …

Security vulnerabilities play a vital role in network security system. Fuzzing technology is
widely used as a vulnerability discovery technology to reduce damage in advance …

This paper presents a survey of work on Search Based Software Engineering (SBSE) for
Software Product Lines (SPLs). We have attempted to be comprehensive, in the sense that …

Context: The inclusion of grey literature (GL) is important to remove publication bias while
gathering available evidence regarding a certain topic. The number of systematic literature …

As software systems undergo escalating complexity, the identification of bugs and defects
becomes pivotal for ensuring seamless user experiences and averting potentially costly post …