activity
20172026
most citedProblems with SZZ and Features: An empirical study of the state of practice of defect prediction data collection

57 citations · 254 across the 24 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.SE2021

Are automated static analysis tools worth it? An investigation into relative warning density and external software quality

Alexander Trautsch, Steffen Herbold, Jens Grabowski

Automated Static Analysis Tools (ASATs) are part of software development best practices. ASATs are able to warn developers about potential problems in the code. On the one hand, AS…

cs.SE2021★ 1 cited

Broccoli: Bug localization with the help of text search engines

Benjamin Ledel, Steffen Herbold

Bug localization is a tedious activity in the bug fixing process in which a software developer tries to locate bugs in the source code described in a bug report. Since this process…

cs.SE2021

On the validity of pre-trained transformers for natural language processing in the software engineering domain

Julian von der Mosel, Alexander Trautsch, Steffen Herbold

Transformers are the current state-of-the-art of natural language processing in many domains and are using traction within software engineering research as well. Such models are pr…

cs.SE2021★ 2 cited

What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes

Alexander Trautsch, Johannes Erbel, Steffen Herbold +1

Many software metrics are designed to measure aspects that are believed to be related to software quality. Static software metrics, e.g., size, complexity and coupling are used in…

cs.SE2021★ 1 cited

A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations

Zaheed Ahmed, Eike Stein, Steffen Herbold +2

The competent programmer hypothesis states that most programmers are competent enough to create correct or almost correct source code. Because this implies that bugs should usually…

cs.SE2021

Exploring the relationship between performance metrics and cost saving potential of defect prediction models

Steffen Tunkel, Steffen Herbold

Context: Performance metrics are a core component of the evaluation of any machine learning model and used to compare models and estimate their usefulness. Recent work started to q…