May 2005· ACM SIGSOFT Softw. Eng. Notes· Vol 30, pp. 1 - 5· 7 citations· 33 references
Computer ScienceEngineering
TL;DR
This paper presents a high-level view of a measurement framework that has been used with multiple agile software development industrial case studies and proposes that this technology-dependent framework can be used as a strawman for a guideline of data collection, analysis, and reporting of industrial case study research.
The objective of this research is to obtain feedback from industry experts to understand the challenges related to the employability of future-ready software engineering undergraduate students and employs a qualitative study to gather the views of the experts.
Nor Azliana Akmal Jamaludin, Najjah Salwa Abd Razak, Ummul Fahri Abdul Rauf et al.· JOIV: International Journal...· 0 citations
A novel holistic theory of requirements engineering (RE) quality is proposed that can serve as a coherent theoretical framework for understanding the success or failure of RE processes and artifacts, and it is envisioned that the theory can serve as a coherent theoretical framework for understanding the success or failure of RE processes and artifacts.
Henning Femmer, Julian Frattini· IEEE International Requireme...· 0 citations
Cross-functional teams are a central organizational model in contemporary software engineering fueled by practices such as Agile development, DevOps and Continuous Integration/Continuous Deployment (CI/CD). Although widely adopted, there is limited empirical support for the effectiveness of these practices in cross-functional teams. This paper presents evidence based software engineering for improving the performance of cross-functional teams. We propose a structured optimization framework which connects modern software engineering principles to measurable performance incentives. The framework is empirically validated on data from real cross-functional software teams, including delivery, quality and collaboration metrics. We show empirical evidence that we have increased deployment frequency, reduced time to release cycle, decreased defect density, improved recovery efficiency, and enhanced collaboration across teams through data-driven optimization. The results reveal that systematic and sustainable performance improvements are achieved through data driven decision making. The contributions of this paper move along the evidence-based software engineering and propose a theoretical and empirically grounded support for optimizing cross-functional software teams.
M. Qasim, Ali Zamil Sharhan Al-Maliki, Murtadha Al-Maliki et al.· 2026 6th International Confe...· 0 citations
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-use agents appeared first on Microsoft Research.
