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human-computer interaction

2,089 papers

#computer vision Conference Jan 2003

Experimental software engineering (STESE)

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 · 1 citation
#computer vision Conference Aug 2004

Improving requirements management in extreme programming with tool support - an improvement attempt that failed

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. · 19 citations
#computer vision Apr 2004

Usability Assessment of an Extreme Programming Project: Close Co-operation with the Customer Does Not Equal to Good Usability

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 · 72 citations · ⚡5
#computer vision Jun 2004

Self-Adaptability of Agile Software Processes: A Case Study on Post-iteration Workshops

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. · 37 citations
#computer vision Nov 2004

Extreme Programming: Reassessing the Requirements Management Process for an Offsite Customer

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 · 9 citations · ⚡1
#computer vision Conference Jul 2004

Software Reuse and the Test Development Process: A Combined Approach

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 · 12 citations
#computer vision Review Nov 2005

Software Process Improvement - EuroSPI 2005 Conference

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 · 0 citations
#computer vision Jun 2005

A Case Study on Naked Objects in Agile Software Development

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 · 2 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

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…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

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 Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

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