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Empirical Software Engineering, Volume 28
Volume 28, Number 1, February 2023
- Torgeir Dingsøyr
, Finn Olav Bjørnson
A longitudinal explanatory case study of coordination in a very large development programme: the impact of transitioning from a first- to a second-generation large-scale agile development method. 1 - Leonardo Horn Iwaya
On the privacy of mental health apps. 2 - Davide Dell'Anna
Evaluating classifiers in SE research: the ECSER pipeline and two replication studies. 3 - Md. Abdullah Al Alamin
Developer discussion topics on the adoption and barriers of low code software development platforms. 4 - Sahar Mehrpour
Can static analysis tools find more defects? 5 - Ying Fu, Meng Yan
An empirical study of the impact of log parsers on the performance of log-based anomaly detection. 6 - Dhivyabharathi Ramasamy
Workflow analysis of data science code in public GitHub repositories. 7 - Fang Hou
A systematic literature review on trust in the software ecosystem. 8 - Saikat Mondal
Automatic prediction of rejected edits in Stack Overflow. 9 - Emad Aghayi
A controlled experiment on the impact of microtasking on programming. 10 - Christian Schürhoff, Stefan Hanenberg
An empirical study on a single company's cost estimations of 338 software projects. 11 - Di Wu
Leveraging Stack Overflow to detect relevant tutorial fragments of APIs. 12 - Luca Traini
Towards effective assessment of steady state performance in Java software: are we there yet? 13 - Jeffrey M. Young
Variational satisfiability solving: efficiently solving lots of related SAT problems. 14 - Arthur V. Kamienski
Analyzing Techniques for Duplicate Question Detection on Q&A Websites for Game Developers. 17 - William G. Temple
CyberSAGE: The cyber security argument graph evaluation tool. 18 - Di Liu, Yang Feng
Towards understanding bugs in Python interpreters. 19 - Renaud Rwemalika
Smells in system user interactive tests. 20 - Charles Weir
Incorporating software security: using developer workshops to engage product managers. 21 - Nadia Daoudi
Assessing the opportunity of combining state-of-the-art Android malware detectors. 22 - Deeksha M. Arya
How programmers find online learning resources. 23 - Sergio García
Software variability in service robotics. 24 - Stefan Höppner
Correction to: Advantages and disadvantages of (dedicated) model transformation languages. 25 - Peter Devine
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata. 26
Volume 28, Number 2, March 2023
- Thaís Rocha
Using acceptance tests to predict merge conflict risk. 27 - Sai S. Yerramreddy
An empirical assessment of machine learning approaches for triaging reports of static analysis tools. 28 - Chico Sundermann
Evaluating state-of-the-art # SAT solvers on industrial configuration spaces. 29 - Alexander Trautsch
What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes. 30 - Zigui Jiang, Xiuwen Tang, Zibin Zheng, Jinyan Guo, Xiapu Luo, Yin Li:
Calling relationship investigation and application on Ethereum Blockchain System. 31 - Felipe Curty do Rego Pinto
On the assignment of commits to releases. 32 - Johannes Dorn
Mastering uncertainty in performance estimations of configurable software systems. 33 - Steffen Herbold
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning. 34 - Reem Alfayez
What is asked about technical debt (TD) on Stack Exchange question-and-answer (Q&A) websites? An observational study. 35 - Stephan Lukasczyk
An empirical study of automated unit test generation for Python. 36 - Davide Falessi
Enhancing the defectiveness prediction of methods and classes via JIT. 37 - Kollin Napier
An empirical study of text-based machine learning models for vulnerability detection. 38 - Michael Pacheco
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study. 39 - Ramy Shahin
Applying declarative analysis to industrial automotive software product line models. 40 - Mehran Meidani
Assessing the exposure of software changes. 41 - Rrezarta Krasniqi
A multi-model framework for semantically enhancing detection of quality-related bug report descriptions. 42 - Nan Yang
An interview study about the use of logs in embedded software engineering. 43 - Amin Eslami Abyane
Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness. 44 - Antonio Mastropaolo
Automated variable renaming: are we there yet? 45 - Biruk Asmare Muse
Refactoring practices in the context of data-intensive systems. 46 - Jiahuei Lin, Haoxiang Zhang
Vulnerability management in Linux distributions. 47 - Ulf Kargén
Android decompiler performance on benign and malicious apps: an empirical study. 48 - Kunsong Zhao, Zhou Xu, Meng Yan
The impact of class imbalance techniques on crashing fault residence prediction models. 49 - Maliheh Izadi
Semantically-enhanced topic recommendation systems for software projects. 50 - Elizabeth Bjarnason
Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews. 51 - Pooya Rostami Mazrae
On the usage, co-usage and migration of CI/CD tools: A qualitative analysis. 52 - Daniel Russo
Satisfaction and performance of software developers during enforced work from home in the COVID-19 pandemic. 53 - Anjan Karmakar
JEMMA: An extensible Java dataset for ML4Code applications. 54 - Neil A. Ernst, Maria Teresa Baldassarre:
Registered reports in software engineering. 55 - Ibtissam Abnane, Ali Idri, Imane Chlioui, Alain Abran:
Evaluating ensemble imputation in software effort estimation. 56
Volume 28, Number 3, June 2023
- Kelly Blincoe, Zhenchang Xing:
Preface to the Special issue on the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). 57 - Dhivyabharathi Ramasamy
Visualising data science workflows to support third-party notebook comprehension: an empirical study. 58 - Mahmoud Alfadel
Empirical analysis of security vulnerabilities in Python packages. 59 - Aaditya Bhatia
Towards a change taxonomy for machine learning pipelines. 60 - Kewen Peng
VEER: enhancing the interpretability of model-based optimizations. 61 - Mohammad Mehdi Morovati
Bugs in machine learning-based systems: a faultload benchmark. 62 - Hao Zhong
An empirical study on API usages from code search engine and local library. 63 - Danilo Caivano, Pietro Cassieri
On the spread and evolution of dead methods in Java desktop applications: an exploratory study. 64 - Yikun Li
Automatic identification of self-admitted technical debt from four different sources. 65 - Alexander Trautsch
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects. 66 - Arif Nurwidyantoro
Integrating human values in software development using a human values dashboard. 67 - Shinpei Hayashi, Yann-Gaël Guéhéneuc, Michel R. V. Chaudron:
Introduction to the special issue on program comprehension. 68 - Daniel Alencar da Costa, Natalie Grattan, Nigel Stanger
Studying the characteristics of SQL-related development tasks: An empirical study. 69 - Osama Ehsan
Ranking code clones to support maintenance activities. 70 - Christian Birchler
Machine learning-based test selection for simulation-based testing of self-driving cars software. 71 - Owain Parry
Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models. 72 - Andrea Stocco
Model vs system level testing of autonomous driving systems: a replication and extension study. 73 - Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio
Software testing in the machine learning era. 74 - Noppadol Assavakamhaenghan
Does the first response matter for future contributions? A study of first contributions. 75 - Damiano Torre
Deep learning techniques to detect cybersecurity attacks: a systematic mapping study. 76 - Amal Alazba
Deep learning approaches for bad smell detection: a systematic literature review. 77 - Yisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao, Yi Wang
Cross-status communication and project outcomes in OSS development. 78 - Adina Deiner, Patric Feldmeier, Gordon Fraser
Automated test generation for Scratch programs. 79 - Luciana A. M. Zaina
What do software startups need from UX work? 80
Volume 28, Number 4, July 2023
- José Aldo Silva da Costa
Seeing confusion through a new lens: on the impact of atoms of confusion on novices' code comprehension. 81 - Moataz Chouchen, Ali Ouni
Learning to Predict Code Review Completion Time In Modern Code Review. 82 - Sheik Shameer, Gema Rodríguez-Pérez
Relationship between diversity of collaborative group members' race and ethnicity and the frequency of their collaborative contributions in GitHub. 83 - Vittunyuta Maeprasart
Understanding the role of external pull requests in the NPM ecosystem. 84 - Hamdy Michael Ayas
An empirical study of the systemic and technical migration towards microservices. 85 - Adelina Ciurumelea
Completing Function Documentation Comments Using Structural Information. 86 - Qing Mi
A graph-based code representation method to improve code readability classification. 87 - Mohammad Abdul Hadi, Fatemeh H. Fard
Evaluating pre-trained models for user feedback analysis in software engineering: a study on classification of app-reviews. 88 - Emanuele Iannone
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security. 89 - Katsiaryna Labunets
A new, evidence-based, theory for knowledge reuse in security risk analysis. 90 - Tao Xiao
18 million links in commit messages: purpose, evolution, and decay. 91 - Sayma Sultana, Asif Kamal Turzo, Amiangshu Bosu
Code reviews in open source projects : how do gender biases affect participation and outcomes? 92 - Akond Rahman
Come for syntax, stay for speed, understand defects: an empirical study of defects in Julia programs. 93 - Ozan Özkan
Refactoring with domain-driven design in an industrial context. 94 - Giovani Guizzo
Inferring test models from user bug reports using multi-objective search. 95 - Aoyang Yan, Hao Zhong
How do programmers fix bugs as workarounds? An empirical study on Apache projects. 96 - Patrícia G. F. Matsubara
Much more than a prediction: Expert-based software effort estimation as a behavioral act. 98 - Jahanzaib Malik
An empirical study of vulnerabilities in edge frameworks to support security testing improvement. 99 - Héctor Cadavid
Improving hardware/software interface management in systems of systems through documentation as code. 100 - Théo Zimmermann
A grounded theory of community package maintenance organizations. 101 - Lucas Francisco da Matta Vegi
Understanding code smells in Elixir functional language. 102 - Jinpeng Lan, Lina Gong
BTLink : automatic link recovery between issues and commits based on pre-trained BERT model. 103 - Justyna Petke
Program transformation landscapes for automated program modification using Gin. 104 - David Itzik
Does agile methodology fit all characteristics of software projects? Review and analysis. 105 - Melina C. Vidoni
Towards a taxonomy of Roxygen documentation in R packages. 106 - João Helis Bernardo
The impact of a continuous integration service on the delivery time of merged pull requests. 97
Volume 28, Number 5, October 2023
- Yiming Sun, Daniel M. Germán
Using the uniqueness of global identifiers to determine the provenance of Python software source code. 107 - Hirohisa Aman
An automated detection of confusing variable pairs with highly similar compound names in Java and Python programs. 108 - Zainab Masood, Kelly Blincoe, Daniela E. Damian:
What have we learned? A conceptual framework on New Zealand software professionals and companies' response to COVID-19. 109 - José Carlos Pazos, Jean-Sébastien Légaré, Ivan Beschastnikh:
XSnare: application-specific client-side cross-site scripting protection. 110 - Paulina Stevia Nouwou Mindom, Amin Nikanjam
A comparison of reinforcement learning frameworks for software testing tasks. 111 - Valentina Piantadosi
Do attention and memory explain the performance of software developers? 112 - Yihao Chen
On practitioners' concerns when adopting service mesh frameworks. 113 - Marthe Nordengen Berntzen
Responding to change over time: A longitudinal case study on changes in coordination mechanisms in large-scale agile. 114 - Elizabeth Bjarnason
An empirically based model of software prototyping: a mapping study and a multi-case study. 115 - Fabio Santos
Tag that issue: applying API-domain labels in issue tracking systems. 116 - Abdulaziz Alaboudi
What constitutes debugging? An exploratory study of debugging episodes. 117 - Goran Piskachev
Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study. 118 - Xiangping Chen, Peiyong Liao, Queping Kong, Yuan Huang
Studying differentiated code to support smart contract update. 119 - Tushar Sharma
Investigating developers' perception on software testability and its effects. 120 - George G. Cabral, Leandro L. Minku
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. 121 - Neil A. Ernst
A study of documentation for software architecture. 122 - Dong Wang
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests. 123 - Liyan Song
On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction. 124 - Arut Prakash Kaleeswaran, Arne Nordmann, Thomas Vogel
A user study for evaluation of formal verification results and their explanation at Bosch. 125 - Yuexiu Gao, Hongyu Zhang, Chen Lyu
EnCoSum: enhanced semantic features for multi-scale multi-modal source code summarization. 126 - Hengjie Song, Guobin Wu, Le Ma, Yufei Pan, Qingan Huang, Siyu Jiang
Adversarial domain adaptation for cross-project defect prediction. 127
Volume 28, Number 6, November 2023
- Jürgen Börstler
Developers talking about code quality. 128 - Owura Asare
Is GitHub's Copilot as bad as humans at introducing vulnerabilities in code? 129 - Lwin Khin Shar
Experimental comparison of features, analyses, and classifiers for Android malware detection. 130 - Mairieli Wessel
GitHub Actions: The Impact on the Pull Request Process. 131 - Justus Bogner
Do RESTful API design rules have an impact on the understandability of Web APIs? 132 - Ming Wen
Evaluating seed selection for fuzzing JavaScript engines. 133 - Humphrey O. Obie, Hung Du, Kashumi Madampe
Automated detection, categorisation and developers' experience with the violations of honesty in mobile apps. 134 - Ensheng Shi
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. 135 - Emanuela Guglielmi
Using gameplay videos for detecting issues in video games. 136 - Xingfang Wu
On the effectiveness of log representation for log-based anomaly detection. 137 - Dong Wang
When conversations turn into work: a taxonomy of converted discussions and issues in GitHub. 138 - Ranindya Paramitha
Technical leverage analysis in the Python ecosystem. 139 - Milica Ðordevic, Michel Albonico, Grace A. Lewis
Computation offloading for ground robotic systems communicating over WiFi - an empirical exploration on performance and energy trade-offs. 140 - Guang Yang
A syntax-guided multi-task learning approach for Turducken-style code generation. 141 - Syeda Khairunnesa Samantha, Shibbir Ahmed, Sayem Mohammad Imtiaz, Hridesh Rajan, Gary T. Leavens:
What kinds of contracts do ML APIs need? 142 - Roozbeh Aghili
Studying the characteristics of AIOps projects on GitHub. 143 - Liang Yu
Automated NFR testing in continuous integration environments: a multi-case study of Nordic companies. 144 - Déaglán Connolly Bree
Energy efficiency of the Visitor Pattern: contrasting Java and C++ implementations. 145 - Michael Weiss
Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing. 146 - Jesús M. González-Barahona
The software heritage license dataset (2022 edition). 147 - Talita Vieira Ribeiro
On the Investigation of Empirical Contradictions - Aggregated Results of Local Studies on Readability and Comprehensibility of Source Code. 148 - Shalini Chakraborty
We do not understand what it says - studying student perceptions of software modelling. 149 - Nimmi Rashinika Weeraddana, Xiaoyan Xu, Mahmoud Alfadel, Shane McIntosh, Meiyappan Nagappan:
An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects. 150 - Jiahuei Lin
On the coordination of vulnerability fixes. 151 - Christian Kaltenecker
Performance evolution of configurable software systems: an empirical study. 152 - Johannes Härtel
Operationalizing validity of empirical software engineering studies. 153 - Caique Moreira, Breno B. N. de França
Analyzing the BizDev interface in an enterprise context: a case of developers acting in business. 154 - Luigi Lavazza
An empirical study on software understandability and its dependence on code characteristics. 155
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