N
Nicolo Paternoster
Researcher at Blekinge Institute of Technology
Publications - 7
Citations - 793
Nicolo Paternoster is an academic researcher from Blekinge Institute of Technology. The author has contributed to research in topics: Social software engineering & Personal software process. The author has an hindex of 6, co-authored 7 publications receiving 663 citations.
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Journal ArticleDOI
Software development in startup companies: A systematic mapping study
Nicolo Paternoster,Carmine Giardino,Michael Unterkalmsteiner,Tony Gorschek,Pekka Abrahamsson +4 more
TL;DR: 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.
Journal ArticleDOI
Software Development in Startup Companies: The Greenfield Startup Model
Carmine Giardino,Nicolo Paternoster,Michael Unterkalmsteiner,Tony Gorschek,Pekka Abrahamsson +4 more
TL;DR: The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Journal ArticleDOI
What Do We Know about Software Development in Startups
Carmine Giardino,Michael Unterkalmsteiner,Nicolo Paternoster,Tony Gorschek,Pekka Abrahamsson +4 more
TL;DR: In this study, the authors characterize their context and identify common software development startup practices.
Journal Article
Voice of Evidence - What Do We Know about Software Development in Startups?
Carmine Giardino,Michael Unterkalmsteiner,Nicolo Paternoster,Tony Gorschek,Pekka Abrahamsson +4 more
TL;DR: In this paper, the authors characterize their context and identify common software development startup practices, which is a common practice for failure in software development, as well as the reasons why many successful stories fail prematurely.
Journal ArticleDOI
Otoacoustic emissions in time-domain solutions of nonlinear non-local cochlear models
TL;DR: In order to be able to use standard personal computers for simulations reliably, the discretized model has been carefully designed to enforce sparsity of the matrices using a multi-iterative approach.