Sanja Aaramaa

TL;DR: The potential for future adoption of quality models within software analytics tools definitely exists and practitioners are encouraged to use the presented seven challenges and seven lessons learned and adopt them in their companies.

TL;DR: This work presents a data-driven tooled approach for the semi-automatic generation and documentation of QRs in the context of ASD, based on the declaration of thresholds over quality-related issues, whose violation triggers user-defined alerts.

TL;DR: In this paper, the authors conducted 36 interviews with practitioners from four companies of varying sizes and found that the companies apply proactive, reactive, and interactive strategies to manage QRs and identified nine contextual elements that affect QR management practice choices and which can explain many related challenges.

TL;DR: This work presents a data-driven approach to semi-automatically generate and document QRs in the context of ASD and defines an architecture focusing on the process and the artefacts involved, considering the feedback and outcomes of the conducted workshops.

TL;DR: In this article, a case study was conducted to understand practitioners' perceptions of QR documentation and factors influencing this task to derive a model that supports optimal QR documentation in Agile software development.