Early results suggest that the behaviors introduced in the model are relevant in SPI initiatives, the use of model raises the awareness about the people issues in improving processes, and the model could be used aside with CMM, SPICE or other process improvement models.
Abstract
This paper suggests that by operationalizing the concept of commitment in the shape of a model, a new insight is provided in improving software processes—a more human centered approach as opposed to various technical approaches available. In doing so the SPI managers/change agents are able to plan better the software process improvement initiative and benchmark successful projects (as well as failed ones). Results from five interviews with SPI professionals on the proposed Behavior-based Commitment Model are reported, together with early results from the empirical test in 14 software process improvement projects. Early results suggest that the behaviors introduced in the model are relevant in SPI initiatives, the use of model raises the awareness about the people issues in improving processes, and the model could be used aside with CMM, SPICE or other process improvement models.
A comparative analysis of functional, process-based, and process-project-based approaches to management shows that the functional approach remains valuable for stable and regulated activities, the process-based approach focuses the organization on end-to-end value streams, and the process-project-based approach allows...
Vladimir A. Bryukhachev, Maksim B. Bulshtein· Vestnik of Samara University...· 0 citations
Abstract The study investigated the role and effectiveness of improvement projects (IPs) which have been implemented within the Continuous Improvement (CI) framework in Polish manufacturing companies. Although CI practices are widely recognized worldwide, little is known about how such projects are organized and manage...
Aneta Kucińska-Landwójtowicz, I. Czabak-Górska· Management Systems in Produc...· 0 citations
In today's business environment, project management has become an important requirement for organizations of all sizes, from small businesses to large-scale enterprises. The implementation of project management tools and techniques is widely believed to be a major source of competitive advantage, enabling organizations...
Urvish Gajjar· International Journal of Sci...· 0 citations
The findings reveal that the primary sources of technical risks include inadequate requirements definition, suboptimal architectural decisions, integration inconsistencies, and insufficient testing processes, and the application of modern approaches significantly contributes to minimizing technical risks and improving...
Shukufa Rustamova, Isa Muradov· Caspian journal of applied m...· 0 citations
It was identified that the industry tends to follow a hybrid Agile-DevOps practice with more emphasis on automation, continuous integration and collaboration to achieve quick and competitive software environments.
Raman Kumar· Journal of Global Research i...· 0 citations
This paper derives design principles for a chartering method based on a systematic review of ES implementation literature and semi-structured expert interviews and identifies differences in the importance of certain success factors depending on the system type.
Martin Berner, Jan Gansen, A. Maedche· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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.
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