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2,491 papers

#computer vision Conference Open access Jan 2017

Unhappy Developers: Bad for Themselves, Bad for Process, and Bad for Software Product

The first results from a study exploring the consequences of the unhappy developers are presented, and it is predicted that the classification scheme identified will spawn new happiness studies linking causes and effects and can act as a guideline for developers and managers to foster happiness at work.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 50 citations · ⚡3
#computer vision Open access Sep 2017

Achieving CMMI Level 2 with Enhanced Extreme Programming Approach

This study demonstrates that it is possible to use the CMMI for assessing and improving agile processes, however, the analysis reveals that assessing an agile organization requires more interpretations than normally would be the case.

Tuomo Kähkönen, P. Abrahamsson · 44 citations · ⚡4
#computer vision Book Open access Dec 2017

Innovation initiatives in large software companies: a systematic mapping study

This extended abstract summarises an article, which has been published in the Information and Software Technology (IST) Journal and was selected for the Journal-First presentations at the International Conference on Software and System Process (ICSSP 2018). Full Article Reference. Henry Edison, Xiaofeng Wang, Ronald Jabangwe, and Pekka Abrahamsson. 2018. Innovation Initiatives in Large Software Companies: A Systematic Mapping Study. Information and Software Technology, 95:1--14, (March 2018) DOI:10.1016/j.infsof.2017.12.007.

Henry Edison, Xiaofeng Wang, Ronald Jabangwe et al. · 20 citations · ⚡2
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Open access Aug 2019

Exploring Virtual Reality as an Integrated Development Environment for Cyber-Physical Systems

Cyber Physical Systems (CPS) development approaches tend to start from the physical (hardware) perspective, and the software is the final element in the process. However, this approach is unfit for the more software-intensive world that is increasingly iterative, connected, and constantly online. Many constraints prevent the application of iterative, incremental, and agile development methodologies, which now are the norm for many other fields of software. Time-consuming system validation can only start when both hardware and software components are ready, which implies that the software delivery and quality is almost always the final bottleneck in the CPS development and integration. Also organizational issues raise concerns - CPS development teams are nowadays often geographically distributed, which can result in delays in the process, shortcomings, and even mistakes. In this paper, we propose using our envisioned open-source Virtual Reality-based Integrated software Development Environment (VRIDE) for developing the next generation, increasingly software-intensive CPSs in efficient ways.

T. Mikkonen, Kai-Kristian Kemell, Petri Kettunen et al. · 3 citations
#artificial intelligence Conference Open access May 2019

Ethically Aligned Design: An Empirical Evaluation of the RESOLVEDD-Strategy in Software and Systems Development Context

A key finding from the study indicates that simply the presence of an ethical tool has an effect on ethical consideration, creating more responsibility even in instances where the use of the tool is not intrinsically motivated.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 17 citations · ⚡2
#artificial intelligence Book Open access Apr 2020

A Multiple Case Study of Artificial Intelligent System Development in Industry

This investigation revealed different types of AI systems and different AI development approaches, but it is common that business opportunities involving with AI systems are not validated and there is lack of business-driven metrics that guide the development ofAI systems.

Anh Nguyen-Duc, Ingrid Sundbø, E. Nascimento et al. · 20 citations · ⚡1
#machine learning Review Open access Apr 2023

StartCards - A method for early-stage software startups

The first published version of StartCards is presented, which is considered useful for early-stage startups and can also be used as a pedagogical tool in startup education.

Kai-Kristian Kemell, Anh Nguyen-Duc, Mari Suoranta et al. · 25 citations · ⚡1
#artificial intelligence Conference Open access Sep 2023

Preface of RESET 2023: 2nd International Workshop on Requirement Engineering for Software Startups and Emerging Technologies

The Second International Workshop on Requirement Engineering for Software startups and Emerging Technologies (RESET) brought together requirements engineering researchers and practitioners to discuss the need for adapting conventional requirement engineering artifacts in developing and operating emerging technologies.

Anh Nguyen-Duc, Chetan Arora, P. Abrahamsson · 1 citation
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3

Experimenting with Multi-Agent Software Development: Towards a Unified Platform

A unified platform that utilizes multiple artificial intelligence agents to automate the process of transforming user requirements into well-organized deliverables, including user stories, prioritization, and UML sequence diagrams, along with the modular approach to APIs, unit tests, and end-to-end tests.

Malik Abdul Sami, Muhammad Waseem, Z. Rasheed et al. · 14 citations · ⚡1

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MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

MIT News · Artificial Intelligence Aug 20, 2026

Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

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