Information and Software Technology

Papers
(The H4-Index of Information and Software Technology is 35. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Beyond the lab: An in-depth analysis of real-world practices in government-to-citizen software user documentation264
Feature-based insight for forks in social coding platforms228
Automatically inferring user behavior models in large-scale web applications166
CADV: A software visualization approach for code annotations distribution132
Recruiting credible participants for field studies in software engineering research113
A systematic review of shared personal informatics101
Early prediction for merged vs abandoned code changes in modern code reviews96
What do developers consider magic literals? A smalltalk perspective91
Finding the best learning to rank algorithms for effort-aware defect prediction91
A Delphi study to recognize and assess systems of systems vulnerabilities84
A vulnerability detection framework by focusing on critical execution paths72
Burnout in software engineering: A systematic mapping study65
CriticalFuzz: A critical neuron coverage-guided fuzz testing framework for deep neural networks63
Software defect prediction with semantic and structural information of codes based on Graph Neural Networks58
UXH-GEDAPP: A set of user experience heuristics for evaluating generative design applications55
ENZZ: Effective N-gram coverage assisted fuzzing with nearest neighboring branch estimation53
Processes, challenges and recommendations of Gray Literature Review: An experience report50
A systematic literature review of agile software development projects48
Boosting input data sequences generation for testing EFSM-specified systems using deep reinforcement learning48
Ambiguity in user stories: A systematic literature review47
SFIDMT-ART: A metamorphic group generation method based on Adaptive Random Testing applied to source and follow-up input domains47
An end-to-end deep learning system for requirements classification using recurrent neural networks46
Exploring continual learning in code intelligence with domain-wise distilled prompts45
Editorial Board45
Context2Vector: Accelerating security event triage via context representation learning44
Exploring the use of LLMs for the selection phase in systematic literature studies43
Warnings: Violation symptoms indicating architecture erosion42
Improved measurement of software development effort estimation bias40
Energize sustainability: EnSAF for sustainability aware, software intensive energy management systems40
A hybrid model for efficient decision-making in self-adaptive systems39
A model-driven approach to reengineering processes in cloud computing38
An exploratory study of bug prediction at the method level38
Leveraging execution traces to enhance traceability links recovery in BPMN models38
Threats to validity in software engineering research: A critical reflection37
A survey of selected characteristics and contexts of the analysis and planning phase of software development projects and their connections to project success36
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