The growing complexity of software systems and the influence software-supported decisions in our society awoke need for that is transparent, accountable, trust-worthy. Explainability has been identified as a means to achieve these qualities. It recognized an emerging non-functional requirement (NFR) significant impact on system quality. However, order incorporate this NFR into systems, we understand what explainability from engineering perspective how it impacts other quality aspects system....

Abstract The growing complexity of software systems and the influence software-supported decisions in our society sparked need for that is transparent, accountable, trustworthy. Explainability has been identified as a means to achieve these qualities. It recognized an emerging non-functional requirement (NFR) significant impact on system quality. Accordingly, engineers assist them incorporating this NFR into systems. This requires early analysis benefits possible design issues arise from...

Software systems have become an integral part of our daily lives. However, users tend to forget that they are not only consuming information, but also delivering personal information service providers. This data collection means users' privacy sphere is increasingly at stake. Informing about what and how collected pivotal for reaching transparency, trustworthiness, ethics in modern systems. The main purpose policies inform happens their data. But instead extensive purposefully obfuscating....

In the context of ongoing digitalization society, human values such as privacy, ethics and trust are becoming increasingly important.Digital systems entering private professional spaces, which in turn affects privacy their end users.Hence, there is a need for conveying information transparent understandable manner, with user focus.Lawmakers introduced policies means communicating information.However, those documents have proven to be practically useless users.Privacy long, vague, ambiguous...

Faced with the severe financial and reputation implications associated data breaches, enterprises now recognize security as a top concern for software analysis tools.While engineers are typically not equipped required expertise to identify vulnerabilities in code, community knowledge form of publicly available vulnerability databases could come their rescue.For example, Common Vulnerabilities Exposures Database (CVE) contains about already reported weaknesses.However, support examples these...

Using systems as support tools for decision-making is a common part of citizen's daily life. Systems users in various tasks, collecting and processing data to learn about user provide more tailor-made services. This collection, however, means that users' privacy sphere increasingly at stake. Informing the what collected how it processed key reaching transparency, trustworthiness, ethics modern systems. While laws regulations have come into existence inform terms, this information still...

In agile software development, the sprint performances and dynamics of teams often imply tendencies for success a project.Post mortem strategies, e.g., retrospectives help team to report share individually gained experiences (positives negatives) from previous sprints, enable them use these future planning.The interpretation effects on performance is subjective, especially with concern social-driven factors in teams.Involving strategies predictive analytics could reduce potential gaps...

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Fast feedback promotes agile teams to improve their work during the software process, making it crucial for team success. Information systems accelerate availability of information that result in compact knowledge sources. In practice, Sprints is often limited sole progress and performance measures, e.g., burndown charts or velocity diagrams. Sprint insights related dynamics are rarely considered, even though they frequently cause project failures, lack social interaction. this paper, we...

Software systems are ubiquitous, and their use is ingrained in our everyday lives. They enable us to get touch with people quickly easily, support gathering information, help perform daily tasks. In return, we provide these a large amount of personal often unaware that this jeopardizing privacy. End users typically what data collected, for purpose, who has access it, where how it stored. To address issue, looked into explainability might tackle problem. We created privacy explanations aim...

The growing complexity of software systems and the influence software-supported decisions in our society awoke need for that is transparent, accountable, trustworthy. Explainability has been identified as a means to achieve these qualities. It recognized an emerging non-functional requirement (NFR) significant impact on system quality. However, order incorporate this NFR into systems, we understand what explainability from engineering perspective how it impacts other quality aspects system....