Demo Data from VLDB 2026 / reviewers in the wild / expert
Maximilian Capraro
dblp:191/6790
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7598-6615ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 61% Empirical software engineering · 39% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › collaborative software development
inner source |
0.2 | 1 | 2016 | Inner Source in Platform-Based Product Engineering · IEEE Trans. Software Eng. 2016 |
Software maintenance and evolution
software ecosystems |
0.2 | 1 | 2016 | Inner Source in Platform-Based Product Engineering · IEEE Trans. Software Eng. 2016 |
Software maintenance and evolution
software reuse |
0.2 | 1 | 2016 | Inner Source in Platform-Based Product Engineering · IEEE Trans. Software Eng. 2016 |
Methods — techniques the papers use, named apart from their topics
multiple-case case study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | The patch-flow method for measuring inner source collaborationabstractInner source (IS) is the use of open source software development (SD) practices and the establishment of an open source-like culture within an organization. IS enables and requires developers to collaborate more than traditional SD methods such as plan-driven or agile development. To better understand IS, researchers and practitioners need to measure IS collaboration. However, there is no method yet for doing so. In this paper, we present a method for measuring IS collaboration by measuring the patch-flow within an organization. Patch-flow is the flow of code contributions across organizational boundaries such as project, organizational unit, or profit center boundaries. We evaluate our patch-flow measurement method using case study research with a software developing multi-industry company. By applying the method in the case organization, we evaluate its relevance and viability and discuss its usefulness. We found that about half (47.9%) of all code contributions constitute patch-flow between organizational units, almost all (42.2%) being between organizational units working on different products. Such significant patch-flow indicates high relevance of the patch-flow phenomenon and hence the method presented in this paper. Our patch-flow measurement method is the first of its kind to measure and quantify IS collaboration. It can serve as a base for further quantitative analyses of IS collaboration. Maximilian Capraro, Michael Dorner, Dirk Riehle |
MSR | 1 |
| 2016 | Inner Source in Platform-Based Product EngineeringabstractInner source is an approach to collaboration across intra-organizational boundaries for the creation of shared reusable assets. Prior project reports on inner source suggest improved code reuse and better knowledge sharing. Using a multiple-case case study research approach, we analyze the problems that three major software development organizations were facing in their product line engineering efforts. We find that a root cause, the separation of product units as profit centers from a platform organization as a cost center, leads to delayed deliveries, increased defect rates, and redundant software components. All three organizations assume that inner source can help solve these problems. The article analyzes the expectations that these companies were having towards inner source and the problems they were experiencing in its adoption. Finally, the article presents our conclusions on how these organizations should adapt their existing engineering efforts. Dirk Riehle, Maximilian Capraro, Detlef Kips, Lars Horn |
IEEE Trans. Software Eng. | 2 |