activity
20142023
most citedSoftware development in startup companies: A systematic mapping study

416 citations · 1.6k across the 33 of their papers we have counts for

collaborators

33 papers

cs.SE202321 cited

Modern code reviews -- Preliminary results of a systematic mapping study

Deepika Badampudi, Ricardo Britto, Michael Unterkalmsteiner

Reviewing source code is a common practice in a modern and collaborative coding environment. In the past few years, the research on modern code reviews has gained interest among pr…

cs.IR20233 cited

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain

Andrew Yates, Michael Unterkalmsteiner

Domain-specific synonyms occur in many specialized search tasks, such as when searching medical documents, legal documents, and software engineering artifacts. We replicate prior w…

cs.SE20232 cited

Requirements' Characteristics: How do they Impact on Project Budget in a Systems Engineering Context?

Panagiota Chatzipetrou, Michael Unterkalmsteiner, Tony Gorschek

Background: Requirements engineering is of a principal importance when starting a new project. However, the number of the requirements involved in a single project can reach up to…

cs.SE2023

A Method for Identification and Ranking of Requirements Sources

Eriks Klotins, Veselka Boeva, Krzysztof Wnuk +3

Requirements engineering (RE) literature acknowledges the importance of early stakeholder identification. The sources of requirements are many and also constantly changing as the m…

cs.SE202314 cited

Test-Case Quality -- Understanding Practitioners' Perspectives

Huynh Khanh Vi Tran, Nauman Bin Ali, Jürgen Börstler +1

Background: Test-case quality has always been one of the major concerns in software testing. To improve test-case quality, it is important to better understand how practitioners pe…

cs.SE20231 cited

Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation

Michael Unterkalmsteiner, Andrew Yates

One prerequisite for supervised machine learning is high quality labelled data. Acquiring such data is, particularly if expert knowledge is required, costly or even impossible if t…