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edge computing

3,069 papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Book May 2017

Security challenges in IoT development: a software engineering perspective

The preliminary finding results in a list of 17 security challenges with regards to technical, organizational and methodological perspectives, which provides initial explanation about the less emphasis on methodological and organizational security concerns in cases.

Anh Nguyen-Duc, Ronald Jabangwe, P. Paul et al. · 45 citations · ⚡2
#computer vision Book Aug 2018

A preliminary study of agility in business and production: cases of early-stage hardware startups

It is found that agile development is known to hardware entrepreneurs, however it is limitedly adopted, and four categories of tactics are found that enable hardware startups agile in their early stage business and product development.

Anh Nguyen-Duc, Xiaofang Weng, P. Abrahamsson · 13 citations
#computer vision Aug 2018

Essencery - A Tool for Essentializing Software Engineering Practices

This paper presents Essencery, a tool for essentializing software engineering methods and practices using the Essence graphical syntax and presents an empirical evaluation of the tool by means of a qualitative, quasi-formal experiment, which confirms that the tool is easy to use and useful for its intended purpose.

A. Evensen, Kai-Kristian Kemell, Xiaofeng Wang et al. · 5 citations
#computer vision Sep 2018

The Essence Theory of Software Engineering - Large-Scale Classroom Experiences from 450+ Software Engineering BSc Students

This paper studies Essence in an educational setting to evaluate its usefulness for software engineering students while also investigating barriers to its adoption in this context.

Kai-Kristian Kemell, Anh Nguyen-Duc, Xiaofeng Wang et al. · 5 citations
#computer vision Review 2018

Software startup education around the world: A preliminary analysis

This study designs a qualitative survey aimed at software startup educators at Universities, and gathers enough information so it can help the academic community in improving their own courses.

R. Chanin, Dron Khanna, Kai-Kristian Kemell et al. · 4 citations
#computer vision Review Jan 2019

100+ metrics for software startups - A multi-vocal literature review

A multi-vocal literature review focusing on practitioner literature is conducted in order to compile a list of metrics used by software startups, intended to serve as a basis for further research in the area.

Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc et al. · 9 citations

AI Ethics in Industry: A Research Framework

This paper discusses a research framework for implementing AI ethics in industrial settings and presents a starting point for empirical studies into AI ethics but is still being developed further based on its practical utilization.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 27 citations · ⚡3

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Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

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.

Microsoft Research Blog Oct 21, 2026

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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