Software engineering theory and practice is still to a large extent based more on faith than on science. Only by contributing to the scientific and empirically grounded body of knowledge within a specific area of application, theory and practice can develop. Experimentation is an important scientific approach to collec...
K. Kautz, P. Abrahamsson· 36th Annual Hawaii Internati...· 1 citation
While extreme programming (XP) relies on certain principles, it requires an extensive set of tools to enable an effective execution of its practices. In many companies, putting stories on the board may not be sufficient for managing rapidly changing requirements. The objective of This work is to report the results from...
J. Kääriäinen, Juha Koskela, P. Abrahamsson et al.· Proceedings of the EUROMICRO...· 19 citations
The analysis reveals that XP pays almost no attention on the usability of the software, apart from some actions that can be regarded as implicit usability evaluations, and that in XP the team transfers the responsibility of the product's usability to the customer.
Timo Jokela, P. Abrahamsson· International Conference on...· 72 citations· ⚡5
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Empirical results show that with less than 4% effort it is possible to hold post-iteration workshops that significantly help to improve and optimize practices and enhance the learning and satisfaction of the project team.
O. Salo, Kari Kolehmainen, Pekka Kyllönen et al.· International Conference on...· 37 citations
A controlled case study approach is presented, which has been applied in a study of extreme programming methodology performed in close-to-industry settings, which considers the generation of both quantitative and qualitative data
O. Salo, P. Abrahamsson· International Conference on...· 53 citations· ⚡2
Results from a study of a mobile application development project where the Offsite Customer Process Model was empirically evaluated show that the model itself is context-dependent and it has to be adapted to the underlying development process.
Mikko Korkala, P. Abrahamsson· European Conference on Softw...· 9 citations· ⚡1
This paper suggests a test development process model that takes software reuse techniques and activities into account and shows further that in order to produce reusable test material, the software entities must be expressed in terms of features, in which the test materials are attached to.
M. Karinsalo, P. Abrahamsson· International Conference on...· 12 citations
This book constitutes the refereed research proceeding of the 12th European Software Process Improvement Conference, EuroSPI 2005, held in Budapest, Hungary in November 2005 and contains 18 revised full papers presented.
R. Messnarz, P. Abrahamsson, Ita Richardson· European Conference on Softw...· 0 citations
The empirical results offer support for the argument that the Naked Objects approach is suitable for agile software development and reveal weaknesses in the current Naked Object Framework.
Heikki Keränen, P. Abrahamsson· International Conference on...· 2 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
MIT News · Artificial Intelligence· news.mit.eduOct 22, 2026
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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