Sep 2000· Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future· Vol 2, pp. 246-253 vol.2· 27 citations· ⚡ 2 influential· 27 references
Computer ScienceEngineering
Abstract
Literature and practice has established that the lack of management commitment has been one of the top reasons for a failed SPI (software process improvement) initiative. The paper reports results from an ongoing study aimed at clarifying the role and the meaning of management commitment in SPI initiatives. Results from five focused interviews with SPI professionals are reported together with results from 12 SPI initiatives where the level of management commitment (in terms of concrete signs) was measured in order to test whether it would correlate with the level of success of an SPI initiative. In contrast with the evidence from the literature, the results show that none of the signs of management commitment correlated significantly with the success of the SPI initiatives. It is suggested that the concept of champion may have explained the SPI project success better than management commitment. The paper concludes that many of the SPI initiatives do not require management commitment beyond obtaining the resources needed.
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.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The possibility of inferring high-dimensional data inference in a model that consists of a prior and an auxiliary differentiable constraint given some additional information is considered, thereby allowing a range of potential applications in adapting models to new domains and tasks.
Alexandros Graikos, Esmeralda S. Whitammer, N. Jojic et al.· Neural Information Processin...· 316 citations· ⚡15
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-use agents appeared first on Microsoft Research.