Software Quality Journal

Good data quality is crucial for any data-driven system’s effective and safe operation. For critical safety systems, the significance of data quality is even higher since incorrect or low-quality data may cause fatal faults. However, there are ...

In the multi-hundred-billion-dollar industry of software development, the debugging process is an expensive task for developers. So, much effort has been put into debugging automation. In the last decade, researchers have repaired codes according ...

Technical debt presents sub-optimal choices made in development, which are beneficial in the short term but not in the long run. Consciously admitted debt, which is marked with a keyword, e.g., TODO, is called keyword-labeled self-admitted ...

Recent studies have empirically validated the existence of small patterns in C code, named atoms of confusion (or atoms for short), that can interfere with program comprehension. The focus of this research is an attempt to see if these patterns in ...

Delivering reliable software under the constraint of limited time and budget is a significant challenge. Recent progress in software defect prediction is helping developers to locate defect-prone code components and allocate quality assurance ...

In recent years, open-source software (OSS) has attracted increasing attention due to its easy accessibility via cloud repositories, voluntary community, no vendor lock-in, and low total cost of ownership. In turn, specifying and evaluating OSS ...

Boundary value analysis (BVA) is a common technique in software testing that uses input values that lie at the boundaries where significant changes in behavior are expected. This approach is widely recognized and used as a natural and effective ...

Collecting and analyzing data about developers working on their development tasks can help improve development practices, finally increasing the productivity of teams. Indeed, monitoring and analysis tools have already been used to collect data ...

Achieving the United Nations’ Sustainable Development Goals (SDGs) requires environmental, social, and governance (ESG) programs in the pharmaceutical industry. Using the Millennium Development Goals, the 2030 agenda aims to transform European ...

Test smells, detrimental coding practices that hinder high-quality test code development, pose a significant challenge in software testing and maintenance. Software refactoring, traditionally a powerful approach for addressing code smells and ...

In the contemporary age of cyber-physical systems (CPS), where software governs the control, coordination, and management of physical objects to tackle real-world problems, engineering requirements for such systems present considerable challenges. ...

Deployment constitutes a pivotal aspect of data science projects, such as big data analytics (BDA). A comprehensive definition of successful deployment necessitates the integration of perspectives from both the project stakeholders and the end-...

Understanding the behaviour of a system’s API can be hard. Giving users access to relevant examples of how an API behaves has been shown to make this easier for them. In addition, such examples can be used to verify expected behaviour or identify ...

Solidity, the language utilized for developing smart contracts, has been gaining increased importance in blockchain system. Ensuring bug-free of its accompanying language compiler, which converts the contract source codes into executables finally ...

Deep generative models have been widely used in molecular generation tasks because they can save time and cost in drug development compared with traditional methods. Previous studies based on generative adversarial network (GAN) models typically ...

Large-scale distributed systems are becoming key engines of the IT industry due to their scalability and extensibility. A distributed system often involves numerous complex interactions among components, suffering anomalies such as data ...