Acquisitions and Open Source Software Development
Acquisitions and Open Source Software Development

Author: Michael Vetter

Publisher: Springer Nature

Published: 2021-08-10

Total Pages: 192

ISBN-13: 3658350849

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Participation of firms in Open Source Software (OSS) development is steadily increasing. In fact, a substantial part of OSS projects today are developed in informal collaboration between firms and a community of voluntary contributors. As more and more firms are active in OSS, acquisitions of firms active in OSS development occur increasingly often. Yet, despite the economic and practical importance of OSS, research has so far overlooked this phenomenon. This dissertation explores this phenomenon of acquisitions of firms active in OSS development. Michael Vetter examines the role of OSS in the pre-acquisition phase and the impact of acquisitions on OSS development in the post-acquisition phase. Using qualitative and quantitative research methods, the author examines acquisition motives, acquisition likelihood, timing of acquisitions, and outcomes of acquisitions and discuss mechanisms behind variations across acquisitions.The findings from the studies contribute to research on acquisitions and OSS development while also providing insights into how to leverage OSS in target search, selection and evaluation processes as well as how to effectively manage acquisitions of firms active in OSS and the communities around them.

Knowledge Acquisition: Selected Research and Commentary
Knowledge Acquisition: Selected Research and Commentary

Author: Sandra Marcus

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 150

ISBN-13: 146131531X

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What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.