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Empirical Software Engineering

An International Journal

Empirical Software Engineering OnlineFirst articles


An empirical assessment of best-answer prediction models in technical Q&A sites

Technical Q&A sites have become essential for software engineers as they constantly seek help from other experts to solve their work problems. Despite their success, many questions remain unresolved, sometimes because the asker does not …


An empirical study on the issue reports with questions raised during the issue resolving process

An issue report describes a bug or a feature request for a software system. When resolving an issue report, developers may discuss with other developers and/or the reporter to clarify and resolve the reported issue. During this process, questions …


Balancing the trade-off between accuracy and interpretability in software defect prediction

In recent years, classification techniques of supervised machine learning have been successfully applied to various domains, i.e., computer vision, speech recognition, information retrieval, marketing, finance, manufacturing, bioinformatics, and …


GreenScaler: training software energy models with automatic test generation

Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications (apps) are a liability to both the end-user and software developer. Measuring …


The modular and feature toggle architectures of Google Chrome

Software features often span multiple directories and conceptual modules making the extraction of feature architectures difficult. In this work, we extract a feature toggle architectural view and show how features span the conceptual, concrete …

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Über diese Zeitschrift

Empirical Software Engineering provides a forum for applied software engineering research with a strong empirical component, and a venue for publishing empirical results relevant to both researchers and practitioners. Empirical studies presented here usually involve the collection and analysis of data and experience that can be used to characterize, evaluate and reveal relationships between software development deliverables, practices, and technologies. Over time, it is expected that such empirical results will form a body of knowledge leading to widely accepted and well-formed theories.

The journal also offers industrial experience reports detailing the application of software technologies - processes, methods, or tools - and their effectiveness in industrial settings.

Empirical Software Engineering promotes the publication of industry-relevant research, to address the significant gap between research and practice.

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Product Lifecycle Management im Konzernumfeld – Herausforderungen, Lösungsansätze und Handlungsempfehlungen

Für produzierende Unternehmen hat sich Product Lifecycle Management in den letzten Jahrzehnten in wachsendem Maße zu einem strategisch wichtigen Ansatz entwickelt. Forciert durch steigende Effektivitäts- und Effizienzanforderungen stellen viele Unternehmen ihre Product Lifecycle Management-Prozesse und -Informationssysteme auf den Prüfstand. Der vorliegende Beitrag beschreibt entlang eines etablierten Analyseframeworks Herausforderungen und Lösungsansätze im Product Lifecycle Management im Konzernumfeld.
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