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381 papers
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.
There is a constant need to check what interest agile practitioners and what agile researchers are investigating, to make sure that the states of the art and practice are aligned properly.
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 Ja...
The findings show that speed related agile practices are used to a greater extent in comparison to quality practices, and that software startups who adopt the Lean Startup approach do not sacrifice quality for speed more than other startups do.
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A strong correlation between perceived team leadership and task management and a potential association between human-oriented leading approach in low customer involvement scenarios and task-orientedLeading approach in high customer involvement situations are observed.
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.
This study explores how software firms interact with others in OSS ecosystems from a coopetition perspective, and finds that software firms emphasize the co-creation of common value and partly react to the potential competitiveness on O SS ecosystems.
The enterprise architecture is applied for the largest county comprising of over 1900 social service and healthcare related information systems and the target is to design one joint system with maximum of 300 supporting information systems resulting in 3 B EUR savings.
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.
It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.
This work presents two board games intended to serve as an engaging introduction to growth hacking for students and helps spark interest in growth hacking among the academia.
The results show that agile software development methods cover, without offering any rationale, different phases of the software development life-cycle and that most of these methods fail to provide adequate project management support.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
General Science
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