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edge computing

3,051 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

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Making machines that can listen

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Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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