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1,707 papers
Preliminary insight into success factors related to project outcomes that can be found at the midpoint of the development projects are offered.
An indicative project success model for software engineering projects is proposed and evaluated empirically in a large multinational software corporation setting, showing the model provides a valuable tool for KIBS organizations to increase their capabilities in running successful projects as well as to find targets fo...
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There is a notable difference in the way the tools are used between the experts working together and the experts mentoring the new developers that have just joined the team, and over time the difference between pairs of experts and mixed pairs working together becomes almost unnoticeable.
A framework is developed for software product roadmapping and results revealed that organizations view the product roadmap mainly as a tool for strategic decision making as it aims at showing the future directions of the company's products.
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
In this paper, we propose a method for predicting development effort based on user stories. Such approach is well suited for Agile software projects where requirements are developed along with the project and only sketched in a rough manner. We apply the proposed method to two industrial Agile software projects of very...
This paper examines the perceived benefits of cloud computing from the cloud users' perspectives using content analysis techniques and proposes that the empirical insights gained are valuable to both researchers and practitioners.
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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.
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
A Blog post by H company on Hugging Face
The PKG Center for Social Impact expands Code.Tulsa experiential learning program.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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