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ORCIDBram Adams
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- affiliation: Polytechnique Montreal, Canada
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2020 – today
- 2024
[j85]Rahul Bajaj
, Eduardo Fernandes, Bram Adams, Ahmed E. Hassan:
Unreproducible builds: time to fix, causes, and correlation with external ecosystem factors. Empir. Softw. Eng. 29(1): 11 (2024)- [j84]Akshat Malik, Bram Adams, Ahmed E. Hassan:
Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction. Empir. Softw. Eng. 29(4): 76 (2024) - [j83]Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
A large-scale exploratory study on the proxy pattern in Ethereum. Empir. Softw. Eng. 29(4): 81 (2024) - [j82]Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan:
An empirical study of challenges in machine learning asset management. Empir. Softw. Eng. 29(4): 98 (2024) - [j81]Harsh Patel, Bram Adams, Ahmed E. Hassan:
Post deployment recycling of machine learning models. Empir. Softw. Eng. 29(4): 100 (2024) - [j80]Shenyu Zheng, Bram Adams, Ahmed E. Hassan:
Does using Bazel help speed up continuous integration builds? Empir. Softw. Eng. 29(5): 110 (2024) - [j79]Youssef Esseddiq Ouatiti, Mohammed Sayagh, Noureddine Kerzazi, Bram Adams, Ahmed E. Hassan:
The impact of concept drift and data leakage on log level prediction models. Empir. Softw. Eng. 29(5): 123 (2024) - [j78]Divya M. Kamath, Eduardo Fernandes, Bram Adams, Ahmed E. Hassan:
On combining commit grouping and build skip prediction to reduce redundant continuous integration activity. Empir. Softw. Eng. 29(6): 145 (2024) - [j77]Doriane Olewicki, Sarra Habchi, Bram Adams:
An Empirical Study on Code Review Activity Prediction and Its Impact in Practice. Proc. ACM Softw. Eng. 1(FSE): 2238-2260 (2024) - [j76]Maleknaz Nayebi, Bram Adams:
Image-based communication on social coding platforms. J. Softw. Evol. Process. 36(5) (2024) - [j75]Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams:
The State of Documentation Practices of Third-Party Machine Learning Models and Datasets. IEEE Softw. 41(5): 52-59 (2024) - [c133]Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams:
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation. FORGE 2024: 57-68 - [c132]Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams:
On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. ICSE-SEIP 2024: 275-286 - [e9]Bram Adams, Thomas Zimmermann, Ipek Ozkaya, Dayi Lin, Jie M. Zhang:
Proceedings of the 1st ACM International Conference on AI-Powered Software, AIware 2024, Porto de Galinhas, Brazil, July 15-16, 2024. ACM 2024 [contents] - [i40]Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan:
An Empirical Study of Challenges in Machine Learning Asset Management. CoRR abs/2402.15990 (2024) - [i39]Jaskirat Singh, Bram Adams, Ahmed E. Hassan:
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance. CoRR abs/2403.17154 (2024) - [i38]Marcos Macedo, Yuan Tian, Filipe Roseiro Côgo, Bram Adams:
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation. CoRR abs/2403.17214 (2024) - [i37]Harsh Patel, Dominique Boucher, Emad Fallahzadeh, Ahmed E. Hassan, Bram Adams:
A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products. CoRR abs/2403.18958 (2024) - [i36]Doriane Olewicki, Sarra Habchi, Bram Adams:
An empirical study on code review activity prediction in practice. CoRR abs/2404.10703 (2024) - [i35]Shenyu Zheng, Bram Adams, Ahmed E. Hassan:
Does Using Bazel Help Speed Up Continuous Integration Builds? CoRR abs/2405.00796 (2024) - [i34]Jerin Yasmin, Jiale Wang, Yuan Tian, Bram Adams:
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow. CoRR abs/2406.00180 (2024) - [i33]Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan:
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards. CoRR abs/2407.04065 (2024) - [i32]Aaditya Bhatia, Dayi Lin, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan:
Data Quality Antipatterns for Software Analytics. CoRR abs/2408.12560 (2024) - 2023
- [j74]Jiahuei Lin, Haoxiang Zhang, Bram Adams, Ahmed E. Hassan:
Vulnerability management in Linux distributions. Empir. Softw. Eng. 28(2): 47 (2023) - [j73]Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming (Jack) Jiang, Bram Adams:
Towards a change taxonomy for machine learning pipelines. Empir. Softw. Eng. 28(3): 60 (2023) - [j72]Yihao Chen, Eduardo Fernandes, Bram Adams, Ahmed E. Hassan:
On practitioners' concerns when adopting service mesh frameworks. Empir. Softw. Eng. 28(5): 113 (2023) - [j71]Jiahuei Lin, Bram Adams, Ahmed E. Hassan:
On the coordination of vulnerability fixes. Empir. Softw. Eng. 28(6): 151 (2023) - [j70]Benjamin Rombaut, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan:
There's no Such Thing as a Free Lunch: Lessons Learned from Exploring the Overhead Introduced by the Greenkeeper Dependency Bot in Npm. ACM Trans. Softw. Eng. Methodol. 32(1): 11:1-11:40 (2023) - [j69]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab, Bram Adams:
On the Discoverability of npm Vulnerabilities in Node.js Projects. ACM Trans. Softw. Eng. Methodol. 32(4): 91:1-91:27 (2023) - [j68]Armstrong Foundjem, Ellis E. Eghan, Bram Adams:
A Grounded Theory of Cross-Community SECOs: Feedback Diversity Versus Synchronization. IEEE Trans. Software Eng. 49(10): 4731-4750 (2023) - [c131]Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response in GitHub Pull Requests. MSR 2023: 1-11 - [c130]Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang:
IoPV: On Inconsistent Option Performance Variations. ESEC/SIGSOFT FSE 2023: 845-857 - [i31]Kazi Amit Hasan, Marcos Macedo, Yuan Tian, Bram Adams, Steven H. H. Ding:
Understanding the Time to First Response In GitHub Pull Requests. CoRR abs/2304.08426 (2023) - [i30]Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams:
Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction. CoRR abs/2305.09824 (2023) - [i29]Maleknaz Nayebi, Bram Adams:
Image-based Communication on Social Coding Platforms. CoRR abs/2306.15851 (2023) - [i28]Aaditya Bhatia, Foutse Khomh, Bram Adams, Ahmed E. Hassan:
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software. CoRR abs/2311.12019 (2023) - [i27]Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams:
The State of Documentation Practices of Third-party Machine Learning Models and Datasets. CoRR abs/2312.15058 (2023) - [i26]Yihao Chen, Jiahuei Lin, Bram Adams, Ahmed E. Hassan:
Why Not Mitigate Vulnerabilities in Helm Charts? CoRR abs/2312.15350 (2023) - 2022
- [j67]Armstrong Foundjem, Eleni Constantinou, Tom Mens, Bram Adams:
A mixed-methods analysis of micro-collaborative coding practices in OpenStack. Empir. Softw. Eng. 27(5): 120 (2022) - [j66]Jiahuei Lin, Haoxiang Zhang, Bram Adams, Ahmed E. Hassan:
Upstream bug management in Linux distributions. Empir. Softw. Eng. 27(6): 134 (2022) - [j65]Parisa Moslehi, Juergen Rilling, Bram Adams:
A user survey on the adoption of crowd-based software engineering instructional screencasts by the new generation of software developers. J. Syst. Softw. 185: 111144 (2022) - [j64]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Toward Using Package Centrality Trend to Identify Packages in Decline. IEEE Trans. Engineering Management 69(6): 3618-3632 (2022) - [j63]Shivashree Vysali, Shane McIntosh, Bram Adams:
Quantifying, Characterizing, and Mitigating Flakily Covered Program Elements. IEEE Trans. Software Eng. 48(3): 1018-1029 (2022) - [j62]Md Atique Reza Chowdhury, Rabe Abdalkareem, Emad Shihab, Bram Adams:
On the Untriviality of Trivial Packages: An Empirical Study of npm JavaScript Packages. IEEE Trans. Software Eng. 48(8): 2695-2708 (2022) - [c129]Aquilas Tchanjou Njomou, Marios Fokaefs, Dimitry Fumtim Silatchom Kamga, Bram Adams:
On the Challenges of Migrating to Machine Learning Life Cycle Management Platforms. CASCON 2022: 42-51 - [c128]Mahsa Hadian, Scott Brisson, Bram Adams, Soude Ghari, Ehsan Noei, Marios Fokaefs, Kelly A. Lyons, Shurui Zhou:
Exploring trends and practices of forks in open-source software repositories. CASCON 2022: 120-129 - [c127]Nan Yang, Isabella Ferreira, Alexander Serebrenik, Bram Adams:
Why do projects join the Apache Software Foundation? ICSE-SEIS 2022: 161-171 - [c126]Doriane Olewicki, Mathieu Nayrolles, Bram Adams:
Towards language-independent Brown Build Detection. ICSE 2022: 2177-2188 - [c125]Isabella Ferreira, Bram Adams, Jinghui Cheng:
How heated is it? Understanding GitHub locked issues. MSR 2022: 309-320 - [c124]Bram Adams:
Release engineering in the AI world: how can analytics help? (keynote). PROMISE 2022: 1 - [i25]Amine Barrak, Bram Adams, Amal Zouaq:
Toward a traceable, explainable, and fairJD/Resume recommendation system. CoRR abs/2202.08960 (2022) - [i24]Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming Jiang, Bram Adams:
Towards a Change Taxonomy for Machine Learning Systems. CoRR abs/2203.11365 (2022) - [i23]Isabella Ferreira, Bram Adams, Jinghui Cheng:
How heated is it? Understanding GitHub locked issues. CoRR abs/2204.00155 (2022) - 2021
- [j61]Armstrong Foundjem, Bram Adams:
Release synchronization in software ecosystems. Empir. Softw. Eng. 26(3): 34 (2021) - [j60]Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Individual differences limit predicting well-being and productivity using software repositories: a longitudinal industrial study. Empir. Softw. Eng. 26(5): 88 (2021) - [j59]Sophia Quach, Maxime Lamothe, Bram Adams, Yasutaka Kamei, Weiyi Shang:
Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empir. Softw. Eng. 26(5): 97 (2021) - [j58]Amine Barrak, Ellis E. Eghan, Bram Adams, Foutse Khomh:
Why do builds fail? - A conceptual replication study. J. Syst. Softw. 177: 110939 (2021) - [j57]Isabella Ferreira, Jinghui Cheng, Bram Adams:
The "Shut the f**k up" Phenomenon: Characterizing Incivility in Open Source Code Review Discussions. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 353:1-353:35 (2021) - [j56]Minke Xiu, Zhen Ming Jack Jiang, Bram Adams:
An Exploratory Study of Machine Learning Model Stores. IEEE Softw. 38(1): 114-122 (2021) - [j55]Manel Grichi, Mouna Abidi, Fehmi Jaafar, Ellis E. Eghan, Bram Adams:
On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI). IEEE Trans. Reliab. 70(1): 428-440 (2021) - [j54]Heng Li, Weiyi Shang, Bram Adams, Mohammed Sayagh, Ahmed E. Hassan:
A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives. IEEE Trans. Software Eng. 47(12): 2858-2873 (2021) - [c123]Arghavan Sanei, Jinghui Cheng, Bram Adams:
The Impacts of Sentiments and Tones in Community-Generated Issue Discussions. CHASE@ICSE 2021: 1-10 - [c122]Armstrong Foundjem, Ellis E. Eghan, Bram Adams:
An Open Dataset for Onboarding new Contributors: Empirical Study of OpenStack Ecosystem. ICSE (Companion Volume) 2021: 240-241 - [c121]Armstrong Foundjem, Ellis E. Eghan, Bram Adams:
Onboarding vs. Diversity, Productivity, and Quality - Empirical Study of the OpenStack Ecosystem. ICSE 2021: 1033-1045 - [c120]Amine Barrak, Ellis E. Eghan, Bram Adams:
On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects. SANER 2021: 422-433 - [c119]Aquilas Tchanjou Njomou, Alexandra Johanne Bifona Africa, Bram Adams, Marios Fokaefs:
MSR4ML: Reconstructing Artifact Traceability in Machine Learning Repositories. SANER 2021: 536-540 - [i22]Arghavan Sanei, Jinghui Cheng, Bram Adams:
The Impacts of Sentiments and Tones in Community-Generated Issue Discussions. CoRR abs/2103.10615 (2021) - [i21]Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Individual Differences Limit Predicting Well-being and Productivity Using Software Repositories: A Longitudinal Industrial Study. CoRR abs/2104.13713 (2021) - [i20]Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Towards Using Package Centrality Trend to Identify Packages in Decline. CoRR abs/2107.10168 (2021) - [i19]Isabella Ferreira, Jinghui Cheng, Bram Adams:
The "Shut the f**k up" Phenomenon: Characterizing Incivility in Open Source Code Review Discussions. CoRR abs/2108.09905 (2021) - 2020
- [j53]Vivek Shankar Varadharajan, David St-Onge, Bram Adams, Giovanni Beltrame:
SOUL: data sharing for robot swarms. Auton. Robots 44(3-4): 377-394 (2020) - [j52]Mohammed Sayagh, Noureddine Kerzazi, Fábio Petrillo, Khalil Bennani, Bram Adams:
What should your run-time configuration framework do to help developers? Empir. Softw. Eng. 25(2): 1259-1293 (2020) - [j51]Parisa Moslehi, Bram Adams, Juergen Rilling:
A feature location approach for mapping application features extracted from crowd-based screencasts to source code. Empir. Softw. Eng. 25(6): 4873-4926 (2020) - [j50]Ellis E. Eghan, Parisa Moslehi, Juergen Rilling, Bram Adams:
The missing link - A semantic web based approach for integrating screencasts with security advisories. Inf. Softw. Technol. 117 (2020) - [j49]Vivek Shankar Varadharajan, David St-Onge, Bram Adams, Giovanni Beltrame:
Swarm Relays: Distributed Self-Healing Ground-and-Air Connectivity Chains. IEEE Robotics Autom. Lett. 5(4): 5347-5354 (2020) - [j48]Nolwen Mahe, Bram Adams, Josianne Marsan, Mathieu Templier, Sylvie Bissonnette:
Migrating a Software Factory to Design Thinking: Paying Attention to People and Mind-Sets. IEEE Softw. 37(2): 32-40 (2020) - [j47]Bram Adams, Foutse Khomh:
The Diversity Crisis of Software Engineering for Artificial Intelligence. IEEE Softw. 37(4): 104-108 (2020) - [j46]Mohammed Sayagh, Noureddine Kerzazi, Bram Adams, Fábio Petrillo:
Software Configuration Engineering in Practice Interviews, Survey, and Systematic Literature Review. IEEE Trans. Software Eng. 46(6): 646-673 (2020) - [c118]Moses Openja, Bram Adams, Foutse Khomh:
Analysis of Modern Release Engineering Topics : - A Large-Scale Study using StackOverflow -. ICSME 2020: 104-114 - [c117]Manel Grichi, Ellis E. Eghan, Bram Adams:
On the Impact of Multi-language Development in Machine Learning Frameworks. ICSME 2020: 546-556 - [c116]Manel Grichi, Mouna Abidi, Fehmi Jaafar, Ellis E. Eghan, Bram Adams:
On the Impact of Inter-language Dependencies in Multi-language Systems. QRS 2020: 509 - [i18]Mahmoud Alfadel, Diego Elias Costa, Mouafak Mkhallalati, Emad Shihab, Bram Adams:
On the Threat of npm Vulnerable Dependencies in Node.js Applications. CoRR abs/2009.09019 (2020) - [i17]Minke Xiu, Ellis E. Eghan, Zhen Ming Jiang, Bram Adams:
An Empirical Study on Release Engineering Practices in Open Source ML Package Repositories. CoRR abs/2012.01403 (2020)
2010 – 2019
- 2019
- [j45]Daniel M. Germán, Bram Adams, Kate Stewart:
cregit: Token-level blame information in git version control repositories. Empir. Softw. Eng. 24(4): 2725-2763 (2019) - [j44]Mahdis Zolfagharinia, Bram Adams, Yann-Gaël Guéhéneuc:
A study of build inflation in 30 million CPAN builds on 13 Perl versions and 10 operating systems. Empir. Softw. Eng. 24(6): 3933-3971 (2019) - [j43]Josianne Marsan, Mathieu Templier, Patrick Marois, Bram Adams, Kevin Carillo, Georgia Leida Mopenza:
Toward Solving Social and Technical Problems in Open Source Software Ecosystems: Using Cause-and-Effect Analysis to Disentangle the Causes of Complex Problems. IEEE Softw. 36(1): 34-41 (2019) - [j42]Marc J. Lanovaz, Bram Adams:
Comparing the Communication Tone and Responses of Users and Developers in Two R Mailing Lists: Measuring Positive and Negative Emails. IEEE Softw. 36(5): 46-50 (2019) - [c115]Vivek Shankar Varadharajan, Bram Adams, Giovanni Beltrame:
The Unbroken Telephone Game: Keeping Swarms Connected. AAMAS 2019: 2241-2243 - [c114]Isabella Ferreira, Kate Stewart, Daniel M. Germán, Bram Adams:
A longitudinal study on the maintainers' sentiment of a large scale open source ecosystem. SEmotion@ICSE 2019: 17-22 - [c113]Wajdi Aljedaani, Meiyappan Nagappan, Bram Adams, Michael W. Godfrey:
A comparison of bugs across the iOS and Android platforms of two open source cross platform browser apps. MOBILESoft@ICSE 2019: 76-86 - [c112]Manuel Rigger, Stefan Marr, Bram Adams, Hanspeter Mössenböck:
Understanding GCC builtins to develop better tools. ESEC/SIGSOFT FSE 2019: 74-85 - [e8]Bram Adams, Eleni Constantinou, Tom Mens, Kate Stewart, Gregorio Robles:
Proceedings of the 2nd International Workshop on Software Health, SoHeal@ICSE 2019, Montreal, QC, Canada, May 28, 2019. IEEE / ACM 2019 [contents] - [e7]Margaret-Anne D. Storey, Bram Adams, Sonia Haiduc:
Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, 26-27 May 2019, Montreal, Canada. IEEE / ACM 2019, ISBN 978-1-7281-3412-3 [contents] - [i16]Vivek Shankar Varadharajan, Bram Adams, Giovanni Beltrame:
Failure-Tolerant Connectivity Maintenance for Robot Swarms. CoRR abs/1905.04771 (2019) - [i15]Minke Xiu, Zhen Ming Jack Jiang, Bram Adams:
An Exploratory Study on Machine Learning Model Stores. CoRR abs/1905.10677 (2019) - [i14]Manuel Rigger, Stefan Marr, Bram Adams, Hanspeter Mössenböck:
Understanding GCC Builtins to Develop Better Tools. CoRR abs/1907.00863 (2019) - [i13]Vivek Shankar Varadharajan, David St-Onge, Bram Adams, Giovanni Beltrame:
Self-Healing Ground-and-Air Connectivity Chains. CoRR abs/1909.10496 (2019) - [i12]Maleknaz Nayebi, Bram Adams, Guenther Ruhe:
Release Practices for Mobile Apps-What do Users and Developers Think? CoRR abs/1910.08876 (2019) - 2018
- [j41]Alessandro Murgia, Marco Ortu, Parastou Tourani, Bram Adams, Serge Demeyer:
An exploratory qualitative and quantitative analysis of emotions in issue report comments of open source systems. Empir. Softw. Eng. 23(1): 521-564 (2018) - [j40]Bram Adams, Stephany Bellomo, Christian Bird, Boris Debic, Foutse Khomh, Kim Moir, John ODuinn:
Release Engineering 3.0. IEEE Softw. 35(2): 22-25 (2018) - [j39]Foutse Khomh, Bram Adams, Jinghui Cheng, Marios Fokaefs, Giuliano Antoniol:
Software Engineering for Machine-Learning Applications: The Road Ahead. IEEE Softw. 35(5): 81-84 (2018) - [c111]Miikka Kuutila, Mika V. Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Using experience sampling to link software repositories with emotions and work well-being. ESEM 2018: 29:1-29:10 - [c110]Maëlick Claes, Mika V. Mäntylä, Miikka Kuutila, Bram Adams:
Do programmers work at night or during the weekend? ICSE 2018: 705-715 - [c109]Parisa Moslehi, Bram Adams, Juergen Rilling:
Feature location using crowd-based screencasts. MSR 2018: 192-202 - [c108]Houssem Ben Braiek, Foutse Khomh, Bram Adams:
The open-closed principle of modern machine learning frameworks. MSR 2018: 353-363 - [e6]Bram Adams, Eleni Constantinou, Tom Mens, Gregorio Robles:
Proceedings of the 1st International Workshop on Software Health, SoHeal@ICSE 2018, Gothenburg, Sweden, May 27, 2018. ACM 2018, ISBN 978-1-4503-5730-2 [contents] - [i11]Maëlick Claes, Mika Mäntylä, Miikka Kuutila, Bram Adams:
Do Programmers Work at Night or During the Weekend? CoRR abs/1802.05084 (2018) - [i10]María Gómez, Bram Adams, Walid Maalej, Martin Monperrus, Romain Rouvoy:
App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems. CoRR abs/1807.00518 (2018) - [i9]Miikka Kuutila, Mika Mäntylä, Maëlick Claes, Marko Elovainio, Bram Adams:
Using Experience Sampling to link Software Repositories with Emotions and Work Well-Being. CoRR abs/1808.05409 (2018) - [i8]Bram Adams, Benoit Baudry, Sigrid Eldh, Andy Zaidman, Gerald Schermann:
Automatic Quality Assurance and Release (Report from Dagstuhl Seminar 18122). CoRR abs/1812.08836 (2018) - [i7]Bram Adams, Benoit Baudry, Sigrid Eldh, Andy Zaidman:
Automatic Quality Assurance and Release (Dagstuhl Seminar 18122). Dagstuhl Reports 8(3): 94-127 (2018) - 2017
- [j38]Cor-Paul Bezemer, Shane McIntosh, Bram Adams,