Information and Software Technology

Mobile application testing has gained considerable attention in recent years since mobile devices have become increasingly present in our lives. Unlike traditional software, mobile application testing has to deal with peculiarities, such ...

Technical debt (TD) refers to non-optimal decisions made in software projects that may lead to short-term benefits, but potentially harm the system’s maintenance in the long-term. Technical debt management (TDM) refers to a set of ...

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Detecting potential vulnerabilities is a key step in defending against network attacks. However, manual detection is time-consuming and requires expertise. Therefore, vulnerability detection must require automated techniques.

While the software engineering community (i.e., those involved with engineering software) is constantly in search of insights into team atmosphere and group dynamics and the way these issues impact team performance, little opportunities ...

Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality are crucial to determining ...

• BIGOL4DQ semantic approach is proposed to formally conceptualise Data Quality measurement, management, and Data Quality Assessment.
• Seven rules have been created to check the validity of several business rules for data quality ...

Test flakiness is a topmost concern in software test automation. While conducting pre-deployment testing, those tests that are flagged as flaky are put aside for being either repaired or discarded.

We hypothesise that some ...

Evidence-based software engineering (EBSE) aims to improve research utilization in practice. It relies on systematic methods to identify, appraise, and synthesize existing research findings to answer questions of interest for practice. ...

Privacy-compliant software development has received substantial attention in recent years, especially with the growth of digital services and the emergence of privacy regulations and standards. The increasing popularity of open-source ...

Establishing secure and appropriate licensing procedures for open-source software is essential in the development of a decentralized renewable energy system within the smart grid industry. Nonetheless, software developers in the power ...

Shortcomings of AI systems have recently brought ethics into the spotlight in Software Engineering (SE) in the form of AI ethics. However, actually implementing ethics into practice remains a challenge in both AI ethics and SE at large. ...

• Paper introduces Ethical User Stories (EUSs) for implementing ethics in SE.
• Validated EUS concept with 689 stories from industry projects and other contexts.
• EUS makes ethics practical for developers, integrating it into standard ...

Self-Admitted Technical Debt (SATD) refers to the technical debt in software that is explicitly flagged, typically by the source code comment. The SATD literature has mainly focused on comprehending, describing, detecting, and ...

Commit messages, precisely describing the code changes for each commit in natural language, makes it possible for developers and succeeding reviewers to understand the code changes without digging into implementation details. However, the ...

There are growing concerns about algorithmic fairness, as some machine learning (ML)-based algorithms have been found to exhibit biases against protected attributes such as gender, race, age and so on. Individual fairness requires an ML ...

• Machine-learning algorithms can exhibit biases, raising concerns about fairness.
• Verification Based Testing (VBT) is a state-of-the-art technique for fairness testing.
• We propose VBT-X, an enhancement to VBT that uses hashing-based ...

The convergence of physics and computer science in the realm of quantum computing systems has sparked a profound revolution within the computer industry. However, despite such promise, the existing focus on quantum software systems ...