Automated Software Engineering

Aims & Scope

Automated Software Engineering is an archival, peer-reviewed journal publishing research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology.

This includes the study of techniques for constructing, understanding, adapting, and modelling software artifacts and processes.

Both automatic systems and collaborative systems are within the scope of the journal, as are computational models of human software engineering activities.

Knowledge representations and artificial intelligence techniques applicable to automated software engineering are of interest, as are formal techniques that support or provide theoretical foundations.

Topics of interest include, but are not restricted to: specification and design representation schemes, both formal and informal; descriptions and models of the development process; tools and environments to support software development; cognition in software development, including studies of specifiers, designers and implementors, and cognitive properties of representation schemes, programming and programming languages; software development methods, analysis and validation; requirements elicitation, acquisition and formalization; system rationale; software quality and metrics; software reuse and adaptation; animation and execution of specifications and designs; domain modelling and analysis; software visualization; software object management; development of user interfaces; group and team work in software engineering; development of distributed, real-time, embedded and composite systems; systems integration; software evolution and maintenance; system testing; reverse engineering and program understanding; documentation and program explanation.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.1
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.625

Quartile

Year	Value
2024	Q2

Journal Rank

Year	Value
2024	9251

Journal Citation Indicator

Year	Value
2024	415

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Model Checking Programs

  Citation: 568

  Authors: Willem, Klaus, Guillaume, SeungJoon, Flavio

• Defect prediction from static code features: current results, limitations, new approaches

  Citation: 370

  Authors: Tim, Zach, Burak, Bojan, Yue, AyÅŸe

• An investigation on the feasibility of cross-project defect prediction

  Citation: 259

  Authors: Zhimin, Fengdi, Ye, Mingshu, Qing

• A journey to highly dynamic, self-adaptive service-based applications

  Citation: 185

  Authors: Elisabetta, Carlo, Andreas, Mike, Klaus

• Sample-based software defect prediction with active and semi-supervised learning

  Citation: 147

  Authors: Ming, Hongyu, Rongxin, Zhi-Hua

• GUITAR: an innovative tool for automated testing of GUI-driven software

  Citation: 143

  Authors: Bao N., Bryan, Ishan, Atif

• Rewriting-Based Techniques for Runtime Verification

  Citation: 140

  Authors: Grigore, Klaus

• The DOPLER meta-tool for decision-oriented variability modeling: a multiple case study

  Citation: 140

  Authors: Deepak, Paul, Rick

• TestEra: Specification-Based Testing of Java Programs Using SAT

  Citation: 135

  Authors: Sarfraz, Darko

• Symbolic PathFinder: integrating symbolic execution with model checking for Java bytecode analysis

  Citation: 123

  Authors: Corina S., Willem, David, Jaco, Peter, Neha

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