Code Reuse in Open Source Software

Haefliger, Stefan; Krogh, Georg von; Spaeth, Sebastian

doi:10.1287/mnsc.1070.0748

Cited by 263 publications

(204 citation statements)

References 56 publications

(66 reference statements)

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“…While the software code is explicit knowledge (Haefliger, von Krogh, & Spaeth, 2008;Morner & von Krogh, 2009), as explained previously, "the way it is structured and built conveys more tacit knowledge" (Morner & 2009, p. 443). The idea that an artifact of explicit knowledge can relay tacit knowledge could be understood better by seeing explicit and tacit knowledge not as "two separate entities, but rather as mutually complementary and based on the same continuum" (Nonaka & von Krogh, 2009, p. 640).…”

Section: Communicate Patch Commitmentioning

confidence: 99%

IT-Enabled Knowledge Creation for Open Innovation

Eseryel¹

2014

JAIS

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Section: Communicate Patch Commitmentioning

confidence: 99%

IT-Enabled Knowledge Creation for Open Innovation

Eseryel¹

2014

JAIS

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“…Midha and Palvia (2012) based on certain project selection criteria, reduced their initial sample from 887 to 283. Haefliger and Spaeth (Haefliger et al 2008) reduced their selected sample of projects to 6 OSS projects with variance on their sampling criteria. The studied sample included a wide variety of software products such as office software, games, a hardware driver, and an instant messenger client and this reduced sampling bias (Stake 1995).…”

Section: Storage Of Projects Metadata and Revisionsmentioning

confidence: 99%

An empirical study on the interplay between semantic coupling and co-change of software classes

2017

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Software systems continuously evolve to accommodate new features and interoperability relationships between artifacts point to increasingly relevant software change impacts. During maintenance, developers must ensure that related entities are updated to be consistent with these changes. Studies in the static change impact analysis domain have identified that a combination of source code and lexical information outperforms using each one when adopted independently. However, the extraction of lexical information and the measure of how loosely or closely related two software artifacts are, considering the semantic information embedded in their comments and identifiers has been carried out using somewhat complex information retrieval (IR) techniques. The interplay between software semantic and change relationship strengths has also not been extensively studied. This work aims to fill both gaps by comparing the effectiveness of measuring semantic coupling of OO software classes using (i) simple identifier based techniques and (ii) the word corpora of the entire classes in a software system. Afterwards, we empirically investigate the interplay between semantic and change coupling. The empirical results show that: (1) identifier based methods have more computational efficiency but cannot always be used interchangeably with corpora-based methods of computing semantic coupling of classes and (2) there is no correlation between semantic and change coupling. Furthermore we found that (3) there is a directional relationship between the two, as over 70% of the semantic dependencies are also linked by change coupling but not vice versa.

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“…It can be interesting to study how the Bass diffusion model for the development of individual nodes corresponds to Zheng et al model for the development of the whole graph. Haefliger et al (2008) [6] study code re-use on six open source projects, they conclude that there is extensive code re-use in open source software. The article proceeds by identifying the process of code re-use, such as the drivers for re-using and the tools used to find relevant code.…”

Section: Related Workmentioning

confidence: 99%

Innovation diffusion in open source software: preliminary analysis of dependency changes in the gentoo portage package database

Bloemen

Amrit

Kuhlmann

et al. 2014

Proceedings of the 11th Working Conference on Mining Software Repositories

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In this paper we make the case that software dependencies are a form of innovation adoption. We then test this on the time-evolution of the Gentoo package dependency graph. We find that the Bass model of innovation diffusion fits the growth of the number of packages depending on a given library. Interestingly, we also find that low-level packages have a primarily imitation driven adoption and multimedia libraries have primarily innovation driven growth.

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Code Reuse in Open Source Software

Abstract: This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link:

Cited by 263 publications

References 56 publications

IT-Enabled Knowledge Creation for Open Innovation

IT-Enabled Knowledge Creation for Open Innovation

An empirical study on the interplay between semantic coupling and co-change of software classes

Innovation diffusion in open source software: preliminary analysis of dependency changes in the gentoo portage package database

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