Over the last decades, a considerable amount of empirical knowledge about the efficiency of
defect-detection techniques has been accumulated. Also a few surveys have summarised …

The benefits of the analysis of software faults and failures have been widely recognized.
However, detailed studies based on empirical data are rare. In this paper, we analyze the …

Defects are prevalent in software systems. In order to understand defects better, industry
practitioners often categorize bugs into various types. One common kind of categorization is …

Standard software analytics often involves having a large amount of data with labels in order
to commission models with acceptable performance. However, prior work has shown that …

Orthogonal defect classification (ODC), the most influential framework for software defect
classification and analysis, provides valuable in-process feedback to system development …

Defects are inseparable part of software development and evolution. To better comprehend
problems affecting a software system, developers often store historical defects and these …

Machine learning has vast potential to improve anomaly detection in satellite telemetry
which is a crucial task for spacecraft operations. This potential is currently hampered by a …

Graphical user interfaces (GUIs) are integral parts of software systems that require
interactions from their users. Software testers have paid special attention to GUI testing in …

Keeping track of and managing Self-Admitted Technical Debts (SATDs) is important for
maintaining a healthy software project. Current active-learning SATD recognition tool …

In general, the safety critical systems are zero error tolerance systems, designed with the
high precision approach and with maximum perfection. Hence the authors attempted to …