The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
The Software Factory of today is not intellectually following the earlier undertakings with the same name stemming back in 1980s in Japan or in the US, but represents the software development of the 2010s.
P. Abrahamsson, Petri Kettunen, Fabian Fagerholm· International Conference on...· 21 citations· ⚡1
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...
Marko Ikonen, P. Abrahamsson· International Journal of Inn...· 6 citations
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.
P. Abrahamsson, I. Fronza, Jelena Vlasenko· Workshop on Emerging Trends...· 2 citations
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.
T. Suomalainen, O. Salo, P. Abrahamsson et al.· Journal of Systems and Softw...· 30 citations· ⚡3
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.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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...
P. Abrahamsson, I. Fronza, Raimund Moser et al.· International Symposium on E...· 70 citations· ⚡2
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
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.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
