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Zeitschrift

Empirical Software Engineering

An International Journal

Empirical Software Engineering OnlineFirst articles

20.02.2018

Detecting requirements defects with NLP patterns: an industrial experience in the railway domain

In the railway safety-critical domain requirements documents have to abide to strict quality criteria. Rule-based natural language processing (NLP) techniques have been developed to automatically identify quality defects in natural language …

19.02.2018

Semi-automatic rule-based domain terminology and software feature-relevant information extraction from natural language user manuals

An approach and evaluation at Roche Diagnostics GmbH

Mature software systems comprise a vast number of heterogeneous system capabilities which are usually requested by different groups of stakeholders and which evolve over time. Software features describe and bundle low level capabilities logically …

17.02.2018

Appreciation to Empirical Software Engineering Reviewers of 2017

10.02.2018

An empirical comparison of dependency network evolution in seven software packaging ecosystems

Nearly every popular programming language comes with one or more package managers. The software packages distributed by such package managers form large software ecosystems. These packaging ecosystems contain a large number of package releases …

09.02.2018

Program comprehension of domain-specific and general-purpose languages: replication of a family of experiments using integrated development environments

Domain-specific languages (DSLs) allow developers to write code at a higher level of abstraction compared with general-purpose languages (GPLs). Developers often use DSLs to reduce the complexity of GPLs. Our previous study found that developers …

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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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