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ORCIDEmpirical Software Engineering, Volume 27
Volume 27, Number 1, January 2022
- Adam Przybylek
, Marta Albecka, Olga Springer, Wojciech Kowalski:
Game-based Sprint retrospectives: multiple action research. 1 - Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder:
Deep security analysis of program code. 2 - Hideaki Hata, Nicole Novielli, Sebastian Baltes, Raula Gaikovina Kula, Christoph Treude:
GitHub Discussions: An exploratory study of early adoption. 3 - Hafizul Asad, Ilir Gashi:
Dynamical analysis of diversity in rule-based open source network intrusion detection systems. 4 - Jinfeng Lin, Yalin Liu, Jane Cleland-Huang:
Information retrieval versus deep learning approaches for generating traceability links in bilingual projects. 5 - Victor R. Basili, Lionel C. Briand:
Reflections on the Empirical Software Engineering journal. 6 - Yuan Huang, Xingjian Liang, Zhihao Chen, Nan Jia, Xiapu Luo, Xiangping Chen, Zibin Zheng, Xiaocong Zhou:
Reviewing rounds prediction for code patches. 7 - Laksri Wijerathna, Aldeida Aleti, Tingting Bi, Antony Tang:
Mining and relating design contexts and design patterns from Stack Overflow. 8 - Alvi Mahadi, Neil A. Ernst, Karan Tongay:
Conclusion stability for natural language based mining of design discussions. 9 - Maurice H. ter Beek, Ferruccio Damiani, Michael Lienhardt, Franco Mazzanti, Luca Paolini:
Efficient static analysis and verification of featured transition systems. 10 - Anthony Peruma, Steven Simmons, Eman Abdullah AlOmar, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni:
How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow. 11 - Janet Siegmund, Chanchal K. Roy:
Correction to: Preface to the special issue on program comprehension. 12 - Nasir U. Eisty, Jeffrey C. Carver:
Developers perception of peer code review in research software development. 13 - Fengcai Wen, Csaba Nagy, Michele Lanza, Gabriele Bavota:
Quick remedy commits and their impact on mining software repositories. 14 - Chi Chen, Xin Peng, Bihuan Chen, Jun Sun, Zhenchang Xing, Xin Wang, Wenyun Zhao:
"More Than Deep Learning": post-processing for API sequence recommendation. 15 - Linghui Luo, Felix Pauck, Goran Piskachev, Manuel Benz, Ivan Pashchenko, Martin Mory, Eric Bodden, Ben Hermann, Fabio Massacci:
TaintBench: Automatic real-world malware benchmarking of Android taint analyses. 16 - Nicolas E. Gold, Jens Krinke:
Ethics in the mining of software repositories. 17 - Javier Luis Cánovas Izquierdo, Jordi Cabot:
On the analysis of non-coding roles in open source development. 18 - Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li:
An exploratory study on the repeatedly shared external links on Stack Overflow. 19 - Henrique Marques, Nuno Laranjeiro, Jorge Bernardino:
Injecting software faults in Python applications. 20 - Peipei Wang, Chris Brown, Jamie A. Jennings, Kathryn T. Stolee:
Demystifying regular expression bugs. 21 - Camilo Escobar-Velásquez, Alejandro Mazuera-Rozo, Claudia Bedoya, Michael Osorio-Riaño, Mario Linares-Vásquez, Gabriele Bavota:
Studying eventual connectivity issues in Android apps. 22 - Yi Li, Shaohua Wang, Wenbo Wang, Tien N. Nguyen, Yan Wang, Xinyue Ye:
Rap4DQ: Learning to recommend relevant API documentation for developer questions. 23 - Jiayuan Zhou, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi:
Studying donations and their expenses in open source projects: a case study of GitHub projects collecting donations through open collectives. 24 - Bowen Li, Xin Peng, Qilin Xiang, Hanzhang Wang, Tao Xie, Jun Sun, Xuanzhe Liu:
Enjoy your observability: an industrial survey of microservice tracing and analysis. 25 - Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Omni: automated ensemble with unexpected models against adversarial evasion attack. 26 - Roland Croft, Yongzheng Xie, Mansooreh Zahedi, Muhammad Ali Babar, Christoph Treude:
An empirical study of developers' discussions about security challenges of different programming languages. 27 - Fiorella Zampetti, Saghan Mudbhari, Venera Arnaoudova, Massimiliano Di Penta, Sebastiano Panichella, Giuliano Antoniol:
Using code reviews to automatically configure static analysis tools. 28
Volume 27, Number 2, March 2022
- Rongqi Pan, Mojtaba Bagherzadeh, Taher Ahmed Ghaleb, Lionel C. Briand:
Test case selection and prioritization using machine learning: a systematic literature review. 29 - Michael Schröder, Jürgen Cito:
An empirical investigation of command-line customization. 30 - Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Software testing and Android applications: a large-scale empirical study. 31 - Linghuan Hu, W. Eric Wong, D. Richard Kuhn, Raghu N. Kacker, Shuo Li:
CT-IoT: a combinatorial testing-based path selection framework for effective IoT testing. 32 - Stefan Hanenberg, Nils Mehlhorn:
Two N-of-1 self-trials on readability differences between anonymous inner classes (AICs) and lambda expressions (LEs) on Java code snippets. 33 - Ehsan Noei, Kelly A. Lyons:
A study of gender in user reviews on the Google Play Store. 34 - Klaas-Jan Stol, Mario Schaarschmidt, Shelly Goldblit:
Gamification in software engineering: the mediating role of developer engagement and job satisfaction. 35 - Elizabeth Bjarnason, Baldvin Gislason Bern, Linda Svedberg:
Inter-team communication in large-scale co-located software engineering: a case study. 36 - Da Xiao, Dengji Hang, Lu Ai, Shengping Li, Hongliang Liang:
Path context augmented statement and network for learning programs. 37 - Hussein K. Almulla, Gregory Gay:
Learning how to search: generating effective test cases through adaptive fitness function selection. 38 - Matteo Camilli, Barbara Russo:
Modeling Performance of Microservices Systems with Growth Theory. 39 - Esteban Parra, Mohammad Alahmadi, Ashley Ellis, Sonia Haiduc:
A comparative study and analysis of developer communications on Slack and Gitter. 40 - Hui Gao, Hongyu Kuang, Xiaoxing Ma, Hao Hu, Jian Lü, Patrick Mäder, Alexander Egyed:
Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery. 41 - Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel:
Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection. 42 - Jacek Dabrowski, Emmanuel Letier, Anna Perini, Angelo Susi:
Analysing app reviews for software engineering: a systematic literature review. 43 - Ruben Heradio, David Fernández-Amorós, José A. Galindo, David Benavides, Don S. Batory:
Uniform and scalable sampling of highly configurable systems. 44 - Steffen Herbold, Tobias Haar:
Smoke testing for machine learning: simple tests to discover severe bugs. 45 - Wei Li, Qingan Li, Yunlong Ming, Weijiao Dai, Shi Ying, Mengting Yuan:
An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects. 47 - Yilin Yang, Tianxing He, Yang Feng, Shaoying Liu, Baowen Xu:
Mining Python fix patterns via analyzing fine-grained source code changes. 48 - Hideaki Azuma, Shinsuke Matsumoto, Yasutaka Kamei, Shinji Kusumoto:
An empirical study on self-admitted technical debt in Dockerfiles. 49 - Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori:
Predicting the objective and priority of issue reports in software repositories. 50 - Wesley K. G. Assunção, Thelma Elita Colanzi, Luiz Carvalho, Alessandro Garcia, Juliana Alves Pereira, Maria Julia de Lima, Carlos Lucena:
Analysis of a many-objective optimization approach for identifying microservices from legacy systems. 51 - Sikandar Ali, Irshad Ahmed Abbasi, Elfatih Elmubarak Mustafa, Fazli Wahid, Jiwei Huang:
Practitioner's view of the success factors for software outsourcing partnership formation: an empirical exploration. 52 - Irving Muller Rodrigues, Aleksandr Khvorov, Daniel Aloise, Roman Vasiliev, Dmitrij V. Koznov, Eraldo Rezende Fernandes, George A. Chernishev, Dmitry V. Luciv, Nikita Povarov:
TraceSim: An Alignment Method for Computing Stack Trace Similarity. 53 - John Businge, Moses Openja, Sarah Nadi, Thorsten Berger:
Reuse and maintenance practices among divergent forks in three software ecosystems. 54 - Aidan Z. H. Yang, Safwat Hassan, Ying Zou, Ahmed E. Hassan:
An empirical study on release notes patterns of popular apps in the Google Play Store. 55 - Diane E. Strode, Torgeir Dingsøyr, Yngve Lindsjørn:
A teamwork effectiveness model for agile software development. 56 - Ruben Heradio, David Fernández-Amorós, José A. Galindo, David Benavides, Don S. Batory:
Correction to: Uniform and scalable sampling of highly configurable systems. 57 - Jacek Dabrowski, Emmanuel Letier, Anna Perini, Angelo Susi:
Correction to: Analysing app reviews for software engineering: a systematic literature review. 58
Volume 27, Number 3, May 2022
- Md. Rayhanur Rahman, Nasif Imtiaz, Margaret-Anne D. Storey, Laurie A. Williams:
Why secret detection tools are not enough: It's not just about false positives - An industrial case study. 59 - Suvodeep Majumder, Pranav Mody, Tim Menzies:
Revisiting process versus product metrics: a large scale analysis. 60 - Lina Ochoa, Thomas Degueule, Jean-Rémy Falleri, Jurgen J. Vinju:
Breaking bad? Semantic versioning and impact of breaking changes in Maven Central. 61 - Saikat Mondal, Mohammad Masudur Rahman, Chanchal K. Roy, Kevin A. Schneider:
The reproducibility of programming-related issues in Stack Overflow questions. 62 - Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen:
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. 63 - Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia:
On the adequacy of static analysis warnings with respect to code smell prediction. 64 - Michel Maes-Bermejo, Micael Gallego, Francisco Gortázar, Gregorio Robles, Jesús M. González-Barahona:
Revisiting the building of past snapshots - a replication and reproduction study. 65 - Bahar Gezici, Ayça Kolukisa Tarhan:
Systematic literature review on software quality for AI-based software. 66 - Robert White, Jens Krinke:
TCTracer: Establishing test-to-code traceability links using dynamic and static techniques. 67 - Christian Kröher, Moritz Flöter, Lea Gerling, Klaus Schmid:
Incremental software product line verification - A performance analysis with dead variable code. 68 - José Pereira dos Reis, Fernando Brito e Abreu, Glauco de Figueiredo Carneiro:
Crowdsmelling: A preliminary study on using collective knowledge in code smells detection. 69 - Saso Karakatic, Aleksej Milosevic, Tjasa Hericko:
Software system comparison with semantic source code embeddings. 70 - Daniel Russo, Andrés R. Masegosa, Klaas-Jan Stol:
From anecdote to evidence: the relationship between personality and need for cognition of developers. 71 - Wardah Mahmood, Daniel Strüber, Anthony Anjorin, Thorsten Berger:
Effects of variability in models: a family of experiments. 72 - Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller:
AndroEvolve: automated Android API update with data flow analysis and variable denormalization. 73 - Luca Traini:
Exploring Performance Assurance Practices and Challenges in Agile Software Development: An Ethnographic Study. 74 - Oscar Díaz, Leticia Montalvillo, Raul Medeiros, Maider Azanza, Thomas Fogdal:
Visualizing the customization endeavor in product-based-evolving software product lines: a case of action design research. 75 - Fabio Calefato, Marco Aurélio Gerosa, Giuseppe Iaffaldano, Filippo Lanubile, Igor Steinmacher:
Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHub. 76 - H. Alperen Çetin, Eray Tüzün:
Analyzing developer contributions using artifact traceability graphs. 77 - Eliezio Soares, Gustavo Sizílio, Jadson Santos, Daniel Alencar da Costa, Uirá Kulesza:
The effects of continuous integration on software development: a systematic literature review. 78 - Anjana Perera, Aldeida Aleti, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Burak Turhan, Lisa Kuhn, Katie Walker:
Search-based fairness testing for regression-based machine learning systems. 79
Volume 27, Number 4, July 2022
- Huy Tu, Tim Menzies:
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. 80 - Islem Saidani, Ali Ouni, Md. Ahasanuzzaman, Safwat Hassan, Mohamed Wiem Mkaouer, Ahmed E. Hassan:
Tracking bad updates in mobile apps: a search-based approach. 81 - Walter Cazzola, Luca Favalli:
Towards a recipe for language decomposition: quality assessment of language product lines. 82 - Haonan Zhang, Yiming Tang, Maxime Lamothe, Heng Li, Weiyi Shang:
Studying logging practice in test code. 83 - Hadhemi Jebnoun, Md. Saidur Rahman, Foutse Khomh, Biruk Asmare Muse:
Clones in deep learning code: what, where, and why? 84 - Rodrigo André Ferreira Moreira, Wesley K. G. Assunção, Jabier Martinez, Eduardo Figueiredo:
Open-source software product line extraction processes: the ArgoUML-SPL and Phaser cases. 85 - Darius Sas, Paris Avgeriou, Umut Uyumaz:
On the evolution and impact of architectural smells - an industrial case study. 86 - Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
PRINS: scalable model inference for component-based system logs. 87 - Rômulo Manciola Meloca, Ingrid Nunes:
A comparative study of application-level caching recommendations at the method level. 88 - Enrico Fregnan, Fernando Petrulio, Linda Di Geronimo, Alberto Bacchelli:
What happens in my code reviews? An investigation on automatically classifying review changes. 89 - Kaifeng Huang, Bihuan Chen, Congying Xu, Ying Wang, Bowen Shi, Xin Peng, Yijian Wu, Yang Liu:
Characterizing usages, updates and risks of third-party libraries in Java projects. 90 - Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin:
A unified multi-task learning model for AST-level and token-level code completion. 91 - Ankur Tagra, Haoxiang Zhang, Gopi Krishnan Rajbahadur, Ahmed E. Hassan:
Revisiting reopened bugs in open source software systems. 92 - Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan:
SoftNER: Mining knowledge graphs from cloud incidents. 93 - Sebastian Baltes, Paul Ralph:
Sampling in software engineering research: a critical review and guidelines. 94 - Frolin S. Ocariza Jr.:
On the Effectiveness of Bisection in Performance Regression Localization. 95 - Carolin E. Brandt, Andy Zaidman:
Developer-centric test amplification. 96 - Davide Ginelli, Matias Martinez, Leonardo Mariani, Martin Monperrus:
A comprehensive study of code-removal patches in automated program repair. 97 - Birgit Penzenstadler, Richard Torkar, Cristina Martinez Montes:
Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments. 98 - Pavlína Wurzel Gonçalves, Enrico Fregnan, Tobias Baum, Kurt Schneider, Alberto Bacchelli:
Do explicit review strategies improve code review performance? Towards understanding the role of cognitive load. 99
Volume 27, Number 5, September 2022
- Sofia Ananieva, Sandra Greiner, Timo Kehrer, Jacob Krüger, Thomas Kühn, Lukas Linsbauer, Sten Grüner, Anne Koziolek, Henrik Lönn, S. Ramesh, Ralf H. Reussner:
A conceptual model for unifying variability in space and time: Rationale, validation, and illustrative applications. 101 - Joseph Hejderup, Moritz Beller, Konstantinos Triantafyllou, Georgios Gousios:
Präzi: from package-based to call-based dependency networks. 102 - Emil Alégroth, Kristian Karl, Helena Rosshagen, Tomas Helmfridsson, Nils Olsson:
Practitioners' best practices to Adopt, Use or Abandon Model-based Testing with Graphical models for Software-intensive Systems. 103 - Goran Piskachev, Johannes Späth, Ingo Budde, Eric Bodden:
Fluently specifying taint-flow queries with fluentTQL. 104 - Leonardo Fuchs Alves, Francisco J. S. Vasconcellos, Bruno Magalhães Nogueira:
SeSG: a search string generator for Secondary Studies with hybrid search strategies using text mining. 105 - Olga Springer, Jakub Miler:
A comprehensive overview of software product management challenges. 106 - Ahmed Zerouali, Tom Mens, Alexandre Decan, Coen De Roover:
On the impact of security vulnerabilities in the npm and RubyGems dependency networks. 107 - Mairieli Santos Wessel, Alexander Serebrenik, Igor Wiese, Igor Steinmacher, Marco Aurélio Gerosa:
Quality gatekeepers: investigating the effects of code review bots on pull request activities. 108 - Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub. 109 - Thainá Mariani, Marouane Kessentini, Silvia Regina Vergilio:
Generation of refactoring algorithms by grammatical evolution. 110 - Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio:
Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs. 111 - Gabriela Karoline Michelon, David Obermann, Wesley K. G. Assunção, Lukas Linsbauer, Paul Grünbacher, Stefan Fischer, Roberto E. Lopez-Herrejon, Alexander Egyed:
Evolving software system families in space and time with feature revisions. 112 - James Callan, Oliver Krauss, Justyna Petke, Federica Sarro:
How do Android developers improve non-functional properties of software? 113 - Milos Ojdanic, Wei Ma, Thomas Laurent, Thierry Titcheu Chekam, Anthony Ventresque, Mike Papadakis:
On the use of commit-relevant mutants. 114 - Mateus Lopes, André C. Hora:
How and why we end up with complex methods: a multi-language study. 115 - Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh:
Multi-language design smells: a backstage perspective. 116 - Gias Uddin, Omar Alam, Alexander Serebrenik:
A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months. 117 - Vijay Walunj, Gharib Gharibi, Rakan Alanazi, Yugyung Lee:
Defect prediction using deep learning with Network Portrait Divergence for software evolution. 118 - Juan Manuel Florez, Laura Moreno, Zenong Zhang, Shiyi Wei, Andrian Marcus:
An empirical study of data constraint implementations in Java. 119 - Armstrong Foundjem, Eleni Constantinou, Tom Mens, Bram Adams:
A mixed-methods analysis of micro-collaborative coding practices in OpenStack. 120
Volume 27, Number 6, November 2022
- Pernilla Ågren, Eli Knoph, Richard Berntsson-Svensson:
Agile software development one year into the COVID-19 pandemic. 121 - Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies:
Predicting health indicators for open source projects (using hyperparameter optimization). 122 - Dror G. Feitelson:
Considerations and Pitfalls for Reducing Threats to the Validity of Controlled Experiments on Code Comprehension. 123 - Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. 124 - Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel:
A fine-grained data set and analysis of tangling in bug fixing commits. 125 - Xunhui Zhang, Yue Yu, Tao Wang, Ayushi Rastogi, Huaimin Wang:
Pull request latency explained: an empirical overview. 126 - Xiaofeng Han, Amjed Tahir, Peng Liang, Steve Counsell, Kelly Blincoe, Bing Li, Yajing Luo:
Code smells detection via modern code review: a study of the OpenStack and Qt communities. 127 - Mehrdad Abdi, Henrique Rocha, Serge Demeyer, Alexandre Bergel:
Small-Amp: Test amplification in a dynamically typed language. 128 - Karine Even-Mendoza, Cristian Cadar, Alastair F. Donaldson:
CsmithEdge: more effective compiler testing by handling undefined behaviour less conservatively. 129 - Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol:
FIXME: synchronize with database! An empirical study of data access self-admitted technical debt. 130 - Yikun Li, Mohamed Soliman, Paris Avgeriou:
Identifying self-admitted technical debt in issue tracking systems using machine learning. 131 - Ana Belén Sánchez, Pedro Delgado-Pérez, Inmaculada Medina-Bulo, Sergio Segura:
Mutation testing in the wild: findings from GitHub. 132 - Jackson A. Prado Lima, Willian D. F. Mendonça, Silvia R. Vergilio, Wesley K. G. Assunção:
Cost-effective learning-based strategies for test case prioritization in continuous integration of highly-configurable software. 133 - Jiahuei Lin, Haoxiang Zhang, Bram Adams, Ahmed E. Hassan:
Upstream bug management in Linux distributions. 134 - Gregorio Robles, Andrea Capiluppi, Jesús M. González-Barahona, Björn Lundell, Jonas Gamalielsson:
Development effort estimation in free/open source software from activity in version control systems. 135 - Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Osamu Mizuno:
An empirical study of issue-link algorithms: which issue-link algorithms should we use? 136 - Hajra Naeem, Manar H. Alalfi:
Predicting sensitive information leakage in IoT applications using flows-aware machine learning approach. 137 - Nasir U. Eisty, Jeffrey C. Carver:
Testing research software: a survey. 138 - Nathan Cassee, Fiorella Zampetti, Nicole Novielli, Alexander Serebrenik, Massimiliano Di Penta:
Self-Admitted Technical Debt and comments' polarity: an empirical study. 139 - Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan:
GBGallery : A benchmark and framework for game testing. 140 - Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing? 141 - Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand:
Optimal priority assignment for real-time systems: a coevolution-based approach. 142 - Sören Henning, Wilhelm Hasselbring:
A configurable method for benchmarking scalability of cloud-native applications. 143 - Jiahui Wu, Paolo Arcaini, Tao Yue, Shaukat Ali, Huihui Zhang:
On the preferences of quality indicators for multi-objective search algorithms in search-based software engineering. 144 - Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello:
The making of accessible Android applications: an empirical study on the state of the practice. 145 - Yassine Lamine, Jinghui Cheng:
Understanding and supporting the design systems practice. 146 - Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo:
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects. 147 - Wenhan Zhu, Haoxiang Zhang, Ahmed E. Hassan, Michael W. Godfrey:
An empirical study of question discussions on Stack Overflow. 148 - Benjamin Loriot, Fernanda Madeiral, Martin Monperrus:
Styler: learning formatting conventions to repair Checkstyle violations. 149 - Ferenc Horváth, Árpád Beszédes, Béla Vancsics, Gergö Balogh, László Vidács, Tibor Gyimóthy:
Using contextual knowledge in interactive fault localization. 150 - Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li, Yves Le Traon:
SSPCatcher: Learning to catch security patches. 151 - Jonida Çarka, Matteo Esposito, Davide Falessi:
On effort-aware metrics for defect prediction. 152 - Keyur Patel, João Guilherme Faccin, Abdelwahab Hamou-Lhadj, Ingrid Nunes:
The sense of logging in the Linux kernel. 153 - Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams:
Do I really need all this work to find vulnerabilities? 154 - Mahmoud A. Bokhari, Bradley Alexander:
A Hybrid Distributed EA Approach for Energy Optimisation on Smartphones. 155 - Jirat Pasuksmit, Patanamon Thongtanunam, Shanika Karunasekera:
Story points changes in agile iterative development. 156 - Eriks Klotins, Tony Gorschek, Katarina Sundelin, Erik Falk:
Towards cost-benefit evaluation for continuous software engineering activities. 157 - Shaiful Alam Chowdhury, Reid Holmes, Andy Zaidman, Rick Kazman:
Revisiting the debate: Are code metrics useful for measuring maintenance effort? 158 - Stefan Höppner, Yves Haas, Matthias Tichy, Katharina Juhnke:
Advantages and disadvantages of (dedicated) model transformation languages. 159
Volume 27, Number 7, December 2022
- Davide Basile, Maurice H. ter Beek, Sami Lazreg, Maxime Cordy, Axel Legay:
Static detection of equivalent mutants in real-time model-based mutation testing. 160 - Alexi Turcotte, Ellen Arteca, Ashish Mishra, Saba Alimadadi, Frank Tip:
Stubbifier: debloating dynamic server-side JavaScript applications. 161 - Tanghaoran Zhang, Yue Yu, Xinjun Mao, Yao Lu, Zhixing Li, Huaimin Wang:
FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction. 162 - Laerte Xavier, João Eduardo Montandon, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente:
On the documentation of self-admitted technical debt in issues. 163 - Renan Gomes Vieira, César Lincoln C. Mattos, Lincoln S. Rocha, João Paulo Pordeus Gomes, Matheus Paixão:
The role of bug report evolution in reliable fixing estimation. 164 - Adam Alami, Oliver Krancher:
How Scrum adds value to achieving software quality? 165 - Diego Fernandes da Silva, Luiz Fernando Okada, Wesley K. G. Assunção, Thelma Elita Colanzi:
Intensifying the search-based optimization of product line architectures with crossover operators. 166 - Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
One-off events? An empirical study of hackathon code creation and reuse. 167 - Vlas Zyrianov, Cole S. Peterson, Drew T. Guarnera, Joshua Behler, Praxis Weston, Bonita Sharif, Jonathan I. Maletic:
Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks - methodology and analyses. 168 - Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Learning from what we know: How to perform vulnerability prediction using noisy historical data. 169 - Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, Vincent J. Hellendoorn:
Test smells 20 years later: detectability, validity, and reliability. 170 - Zhou Zhou, Lili Bo, Xiaoxue Wu, Xiaobing Sun, Tao Zhang, Bin Li, Jiale Zhang, Sicong Cao:
SPVF: security property assisted vulnerability fixing via attention-based models. 171 - Xiongfei Wu, Jinqiu Yang, Lei Ma, Yinxing Xue, Jianjun Zhao:
On the usage and development of deep learning compilers: an empirical study on TVM. 172 - James Dominic, Brock Tubre, Deborah Kunkel, Paige Rodeghero:
The human experience of comprehending source code in virtual reality. 173 - Oscar Díaz, Jeremías P. Contell:
Developing research questions in conversation with the literature: operationalization & tool support. 174 - Nick C. Bradley, Thomas Fritz, Reid Holmes:
Sources of software development task friction. 175 - Jason Tsay, Alan Braz, Martin Hirzel, Avraham Shinnar, Todd W. Mummert:
Extracting enhanced artificial intelligence model metadata from software repositories. 176 - Enrico Fregnan, Fernando Petrulio, Alberto Bacchelli:
The evolution of the code during review: an investigation on review changes. 177 - Nemania Borovits, Indika Kumara, Dario Di Nucci, Parvathy Krishnan, Stefano Dalla Palma, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code. 178 - Dimitri Prestat, Naouel Moha, Roger Villemaire:
An empirical study of Android behavioural code smells detection. 179 - Benjamin Hoffmann, Neil Urquhart, Kevin Chalmers, Michael Guckert:
An empirical evaluation of a novel domain-specific language - modelling vehicle routing problems with Athos. 180 - Ethem Utku Aktas, Cemal Yilmaz:
Using Screenshot Attachments in Issue Reports for Triaging. 181 - Steffen Tunkel, Steffen Herbold:
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. 182 - Jung-Chieh Lee, Chung-Yang Chen:
Motivating members' involvement to effectually conduct collaborative software process tailoring. 183 - Andreina Cota Vidaurre, Evelyn Cusi Lopez, Juan Pablo Sandoval Alcocer, Alexandre Bergel:
TestEvoViz: visualizing genetically-based test coverage evolution. 184 - Luigi Lavazza, Sandro Morasca:
Comparing ϕ and the F-measure as performance metrics for software-related classifications. 185 - Hongliang Liang, Dengji Hang, Xiangyu Li:
Modeling function-level interactions for file-level bug localization. 186 - Valeria Pontillo, Fabio Palomba, Filomena Ferrucci:
Static test flakiness prediction: How Far Can We Go? 187 - Ivaldir de Farias Júnior, Sabrina Marczak, Rodrigo Pereira dos Santos, Cleyton M. O. Rodrigues, Hermano P. de Moura:
C2M: a maturity model for the evaluation of communication in distributed software development. 188 - Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi:
A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction. 189 - Marjane Namavar, Noor Nashid, Ali Mesbah:
A controlled experiment of different code representations for learning-based program repair. 190 - Roberto Natella:
StateAFL: Greybox fuzzing for stateful network servers. 191 - Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman:
Basic block coverage for search-based unit testing and crash reproduction. 192 - Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour:
DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. 193 - Samuel W. Flint, Jigyasa Chauhan, Robert Dyer:
Pitfalls and guidelines for using time-based Git data. 194 - Daniel Oliveira, Wesley K. G. Assunção, Alessandro Garcia, Baldoino Fonseca, Márcio Ribeiro:
Developers' perception matters: machine learning to detect developer-sensitive smells. 195 - Omar Haggag, John Grundy, Mohamed Abdelrazek, Sherif Haggag:
A large scale analysis of mHealth app user reviews. 196 - Zhaoxuan Li, Siqi Lu, Rui Zhang, Rui Xue, Wenqiu Ma, Rujin Liang, Ziming Zhao, Sheng Gao:
SmartFast: an accurate and robust formal analysis tool for Ethereum smart contracts. 197 - Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
A large-scale empirical study of commit message generation: models, datasets and evaluation. 198
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