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2020 – today
- 2024
[j47]Fabio Calefato
, Luigi Quaranta, Filippo Lanubile:
A lot of talk and a badge: An exploratory analysis of personal achievements in GitHub. Inf. Softw. Technol. 176: 107561 (2024)- [j46]Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta:
Impact of data quality for automatic issue classification using pre-trained language models. J. Syst. Softw. 210: 111838 (2024) - [j45]Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta:
Training Future Machine Learning Engineers: A Project-Based Course on MLOps. IEEE Softw. 41(2): 60-67 (2024) - [c106]Fabio Calefato, Filippo Lanubile, Luigi Quaranta:
Security Risks and Best Practices of MLOps: A Multivocal Literature Review. ITASEC 2024 - [c105]Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta:
Leveraging GPT-like LLMs to Automate Issue Labeling. MSR 2024: 469-480 - [c104]Nicole Novielli, Rocco Oliveto, Fabio Palomba, Fabio Calefato, Giuseppe Colavito, Vincenzo De Martino, Antonio Della Porta, Giammaria Giordano, Emanuela Guglielmi, Filippo Lanubile, Luigi Quaranta, Gilberto Recupito, Simone Scalabrino, Angelica Spina, Antonio Vitale:
QualAI: Continuous Quality Improvement of AI-based Systems. RCIS Workshops 2024 - 2023
- [j44]Lorin Hochstein, Filippo Lanubile, Laura Nolan, Rafael Prikladnicki:
Developing Your Software Engineering Career: Words of Advice From Seasoned Professionals. IEEE Softw. 40(5): 29-33 (2023) - [c103]Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski:
Assessing the Use of AutoML for Data-Driven Software Engineering. ESEM 2023: 1-12 - [c102]Gennaro Laudato, Simone Scalabrino, Nicole Novielli, Filippo Lanubile, Rocco Oliveto:
Predicting Bugs by Monitoring Developers During Task Execution. ICSE 2023: 1-13 - [c101]Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta:
Teaching MLOps in Higher Education through Project-Based Learning. SEET@ICSE 2023: 95-100 - [c100]Daniela Grassi, Filippo Lanubile, Nicole Novielli, Alexander Serebrenik:
Towards Supporting Emotion Awareness in Retrospective Meetings. ICSE (NIER) 2023: 101-105 - [c99]Giuseppe Colavito, Filippo Lanubile, Nicole Novielli:
Few-Shot Learning for Issue Report Classification. NLBSE@ICSE 2023: 16-19 - [i34]Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta:
Teaching MLOps in Higher Education through Project-Based Learning. CoRR abs/2302.01048 (2023) - [i33]Fabio Calefato, Luigi Quaranta, Filippo Lanubile:
A Lot of Talk and a Badge: An Empirical Analysis of Personal Achievements in GitHub. CoRR abs/2303.14702 (2023) - [i32]Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski:
Assessing the Use of AutoML for Data-Driven Software Engineering. CoRR abs/2307.10774 (2023) - 2022
- [j43]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. Empir. Softw. Eng. 27(3): 76 (2022) - [j42]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
Eliciting Best Practices for Collaboration with Computational Notebooks. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 87:1-87:41 (2022) - [j41]Fabio Calefato, Filippo Lanubile:
Using Personality Detection Tools for Software Engineering Research: How Far Can We Go? ACM Trans. Softw. Eng. Methodol. 31(3): 42:1-42:48 (2022) - [j40]Daniela Girardi, Filippo Lanubile, Nicole Novielli, Alexander Serebrenik:
Emotions and Perceived Productivity of Software Developers at the Workplace. IEEE Trans. Software Eng. 48(9): 3326-3341 (2022) - [c98]Nicole Novielli, Daniela Grassi, Filippo Lanubile, Alexander Serebrenik:
Sensor-Based Emotion Recognition in Software Development: Facial Expressions as Gold Standard. ACII 2022: 1-8 - [c97]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
Pynblint: a static analyzer for Python Jupyter notebooks. CAIN 2022: 48-49 - [c96]Fabio Calefato, Filippo Lanubile, Luigi Quaranta:
A Preliminary Investigation of MLOps Practices in GitHub. ESEM 2022: 283-288 - [c95]Giuseppe Colavito, Filippo Lanubile, Nicole Novielli:
Issue Report Classification Using Pre-trained Language Models. NLBSE 2022: 29-32 - [i31]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
Eliciting Best Practices for Collaboration with Computational Notebooks. CoRR abs/2202.07233 (2022) - [i30]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
Pynblint: a Static Analyzer for Python Jupyter Notebooks. CoRR abs/2205.11934 (2022) - [i29]Fabio Calefato, Filippo Lanubile, Luigi Quaranta:
A Preliminary Investigation of MLOps Practices in GitHub. CoRR abs/2209.11453 (2022) - 2021
- [j39]Nicole Novielli, Fabio Calefato, Filippo Lanubile, Alexander Serebrenik:
Assessment of off-the-shelf SE-specific sentiment analysis tools: An extended replication study. Empir. Softw. Eng. 26(4): 77 (2021) - [j38]Fabio Calefato, Giuseppe Iaffaldano, Leonardo Trisolini, Filippo Lanubile:
An In-Depth Analysis of Occasional and Recurring Collaborations in Online Music Co-creation. ACM Trans. Soc. Comput. 4(4): 14:1-14:40 (2021) - [c94]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
A Taxonomy of Tools for Reproducible Machine Learning Experiments. DP@AI*IA 2021: 65-76 - [c93]Nicole Novielli, Fabio Calefato, Federico De Laurentiis, Luigi Minervini, Filippo Lanubile:
A Virtual Mentor to Support Question-Writing on Stack Overflow. CHASE@ICSE 2021: 125-126 - [c92]Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN@ICSE 2021: 129-132 - [c91]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. MSR 2021: 550-554 - [e5]Filippo Lanubile, Marcos Kalinowski, Maria Teresa Baldassarre:
ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 11-15, 2021. ACM 2021, ISBN 978-1-4503-8665-4 [contents] - [d2]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
collab-uniba/KGTorrent: First release (v. 1.0.0) of KGTorrent. Zenodo, 2021
- [d1]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. Zenodo, 2021 - [i28]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. CoRR abs/2103.04656 (2021) - [i27]Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino:
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. CoRR abs/2103.10548 (2021) - [i26]Luigi Quaranta, Fabio Calefato, Filippo Lanubile:
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. CoRR abs/2103.10558 (2021) - [i25]Fabio Calefato, Filippo Lanubile:
Using Personality Detection Tools for Software Engineering Research: How Far Can We Go? CoRR abs/2110.05035 (2021) - [i24]Fabio Calefato, Giuseppe Iaffaldano, Leonardo Trisolini, Filippo Lanubile:
An in-depth Analysis of Occasional and Recurring Collaborations in Online Music Co-creation. CoRR abs/2110.13535 (2021) - 2020
- [j37]Nicole Novielli, Fabio Calefato, Filippo Lanubile:
Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE. IEEE Softw. 37(3): 86-91 (2020) - [c90]Fabio Calefato, Andrea Giove, Filippo Lanubile, Marco Losavio:
A case study on tool support for collaboration in agile development. ICGSE 2020: 11-21 - [c89]Daniela Girardi, Nicole Novielli, Davide Fucci, Filippo Lanubile:
Recognizing developers' emotions while programming. ICSE 2020: 666-677 - [c88]Nicole Novielli, Fabio Calefato, Davide Dongiovanni, Daniela Girardi, Filippo Lanubile:
Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting? MSR 2020: 158-168 - [e4]Maria Teresa Baldassarre, Filippo Lanubile, Marcos Kalinowski, Federica Sarro:
ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 5-7, 2020. ACM 2020, ISBN 978-1-4503-7580-1 [contents] - [i23]Daniela Girardi, Nicole Novielli, Davide Fucci, Filippo Lanubile:
Recognizing Developers' Emotions while Programming. CoRR abs/2001.09177 (2020) - [i22]Fabio Calefato, Andrea Giove, Marco Losavio, Filippo Lanubile:
A Case Study on Tool Support for Collaboration in Agile Development. CoRR abs/2004.00289 (2020) - [i21]Nicole Novielli, Fabio Calefato, Davide Dongiovanni, Daniela Girardi, Filippo Lanubile:
Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting? CoRR abs/2004.00300 (2020) - [i20]Nicole Novielli, Fabio Calefato, Filippo Lanubile:
Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE. CoRR abs/2004.11005 (2020) - [i19]Nicole Novielli, Fabio Calefato, Filippo Lanubile, Alexander Serebrenik:
Assessment of SE-specific Sentiment Analysis Tools: An Extended Replication Study. CoRR abs/2010.10172 (2020)
2010 – 2019
- 2019
- [j36]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
An empirical assessment of best-answer prediction models in technical Q&A sites. Empir. Softw. Eng. 24(2): 854-901 (2019) - [j35]Fabio Calefato, Filippo Lanubile, Bogdan Vasilescu:
A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem. Inf. Softw. Technol. 114: 1-20 (2019) - [c87]Giuseppe Iaffaldano, Igor Steinmacher, Fabio Calefato, Marco Aurélio Gerosa, Filippo Lanubile:
Why do developers take breaks from contributing to OSS projects?: a preliminary analysis. SoHeal@ICSE 2019: 9-16 - [c86]Daniela Girardi, Filippo Lanubile, Nicole Novielli, Luigi Quaranta, Alexander Serebrenik:
Towards recognizing the emotions of developers using biometrics: the design of a field study. SEmotion@ICSE 2019: 13-16 - [c85]Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta:
EMTk: the emotion mining toolkit. SEmotion@ICSE 2019: 34-37 - [c84]Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile:
A replication study on code comprehension and expertise using lightweight biometric sensors. ICPC 2019: 311-322 - [i18]Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile:
A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors. CoRR abs/1903.03426 (2019) - [i17]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
An empirical assessment of best-answer prediction models in technical Q&A sites. CoRR abs/1903.09522 (2019) - [i16]Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta:
EMTk - The Emotion Mining Toolkit. CoRR abs/1903.09525 (2019) - [i15]Giuseppe Iaffaldano, Igor Steinmacher, Fabio Calefato, Marco Aurélio Gerosa, Filippo Lanubile:
Why do developers take breaks from contributing to OSS projects? A preliminary analysis. CoRR abs/1903.09528 (2019) - [i14]Fabio Calefato, Filippo Lanubile, Bogdan Vasilescu:
A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem. CoRR abs/1905.13062 (2019) - 2018
- [j34]Fabio Calefato, Filippo Lanubile, Federico Maiorano, Nicole Novielli:
Sentiment Polarity Detection for Software Development. Empir. Softw. Eng. 23(3): 1352-1382 (2018) - [j33]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
How to ask for technical help? Evidence-based guidelines for writing questions on Stack Overflow. Inf. Softw. Technol. 94: 186-207 (2018) - [j32]Fabio Calefato, Filippo Lanubile:
Establishing personal trust-based connections in distributed teams. Internet Technol. Lett. 1(4) (2018) - [j31]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Federico Maiorano:
Investigating Crowd Creativity in Online Music Communities. Proc. ACM Hum. Comput. Interact. 2(CSCW): 27:1-27:21 (2018) - [c83]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile:
Collaboration Success Factors in an Online Music Community. GROUP 2018: 61-70 - [c82]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Bogdan Vasilescu:
On developers' personality in large-scale distributed projects: the case of the apache ecosystem. ICGSE 2018: 92-101 - [c81]Daniela Girardi, Filippo Lanubile, Nicole Novielli, Davide Fucci:
Sensing developers' emotions: the design of a replicated experiment. SEmotion@ICSE 2018: 51-54 - [c80]Fabio Calefato, Filippo Lanubile, Federico Maiorano, Nicole Novielli:
Sentiment polarity detection for software development. ICSE 2018: 128 - [c79]Nicole Novielli, Fabio Calefato, Filippo Lanubile:
A gold standard for emotion annotation in stack overflow. MSR 2018: 14-17 - [c78]Nicole Novielli, Daniela Girardi, Filippo Lanubile:
A benchmark study on sentiment analysis for software engineering research. MSR 2018: 364-375 - [i13]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Bogdan Vasilescu:
On Developers' Personality in Large-scale Distributed Projects: The Case of the Apache Ecosystem. CoRR abs/1803.01126 (2018) - [i12]Nicole Novielli, Fabio Calefato, Filippo Lanubile:
A Gold Standard for Emotion Annotation in Stack Overflow. CoRR abs/1803.02300 (2018) - [i11]Nicole Novielli, Daniela Girardi, Filippo Lanubile:
A Benchmark Study on Sentiment Analysis for Software Engineering Research. CoRR abs/1803.06525 (2018) - [i10]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Federico Maiorano:
Investigating Crowd Creativity in Online Music Communities. CoRR abs/1809.06172 (2018) - 2017
- [c77]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
EmoTxt: A toolkit for emotion recognition from text. ACII Workshops 2017: 79-80 - [c76]Daniela Girardi, Filippo Lanubile, Nicole Novielli:
Emotion detection using noninvasive low cost sensors. ACII 2017: 125-130 - [c75]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
A Preliminary Analysis on the Effects of Propensity to Trust in Distributed Software Development. ICGSE 2017: 56-60 - [c74]Daviti Gachechiladze, Filippo Lanubile, Nicole Novielli, Alexander Serebrenik:
Anger and Its Direction in Collaborative Software Development. ICSE-NIER 2017: 11-14 - [c73]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Antonio Lategano, Nicole Novielli:
Mining Communication Data in a Music Community: A Preliminary Analysis. ICWE Workshops 2017: 241-251 - [c72]Mika V. Mäntylä, Nicole Novielli, Filippo Lanubile, Maëlick Claes, Miikka Kuutila:
Bootstrapping a lexicon for emotional arousal in software engineering. MSR 2017: 198-202 - [i9]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
A Preliminary Analysis on the Effects of Propensity to Trust in Distributed Software Development. CoRR abs/1702.04958 (2017) - [i8]Mika V. Mäntylä, Nicole Novielli, Filippo Lanubile, Maëlick Claes, Miikka Kuutila:
Bootstrapping a Lexicon for Emotional Arousal in Software Engineering. CoRR abs/1703.09046 (2017) - [i7]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Antonio Lategano, Nicole Novielli:
Mining Communication Data in a Music Community: A Preliminary Analysis. CoRR abs/1705.04485 (2017) - [i6]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
EmoTxt: A Toolkit for Emotion Recognition from Text. CoRR abs/1708.03892 (2017) - [i5]Daniela Girardi, Filippo Lanubile, Nicole Novielli:
Emotion Detection Using Noninvasive Low Cost Sensors. CoRR abs/1708.06664 (2017) - [i4]Fabio Calefato, Filippo Lanubile, Federico Maiorano, Nicole Novielli:
Sentiment Polarity Detection for Software Development. CoRR abs/1709.02984 (2017) - [i3]Fabio Calefato, Filippo Lanubile:
Establishing Personal Trust-based Connections in Distributed Teams. CoRR abs/1709.03777 (2017) - [i2]Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile:
Collaboration Success Factors in an Online Music Community. CoRR abs/1710.00366 (2017) - [i1]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflow. CoRR abs/1710.04692 (2017) - 2016
- [j30]Fabio Calefato, Filippo Lanubile, Tayana Conte, Rafael Prikladnicki:
Assessing the impact of real-time machine translation on multilingual meetings in global software projects. Empir. Softw. Eng. 21(3): 1002-1034 (2016) - [j29]Fabio Calefato, Filippo Lanubile, Roberto De Nicolo, Fabrizio Lippolis:
A University-NGO partnership to sustain assistive technology projects. Interactions 23(2): 74-77 (2016) - [c71]Nicole Novielli, Fabio Calefato, Filippo Lanubile, Giuseppe Mininni, Annarita Taronna:
The EmoQuest Project: Emotions in Q&A Sites. AVI 2016: 334-335 - [c70]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
Moving to Stack Overflow: Best-Answer Prediction in Legacy Developer Forums. ESEM 2016: 13:1-13:10 - [c69]Fabio Calefato, Filippo Lanubile:
A Hub-and-Spoke Model for Tool Integration in Distributed Development. ICGSE 2016: 129-133 - [c68]Fabio Calefato, Filippo Lanubile:
Affective trust as a predictor of successful collaboration in distributed software projects. SEmotion@ICSE 2016: 3-5 - 2015
- [j28]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
The role of social media in affective trust building in customer-supplier relationships. Electron. Commer. Res. 15(4): 453-482 (2015) - [c67]Fabio Calefato, Roberto De Nicolo, Filippo Lanubile, Fabrizio Lippolis:
Product Line Engineering for NGO Projects. PLEASE@ICSE 2015: 3-6 - [c66]Fabio Calefato, Filippo Lanubile, Maria Concetta Marasciulo, Nicole Novielli:
Mining Successful Answers in Stack Overflow. MSR 2015: 430-433 - [c65]Nicole Novielli, Fabio Calefato, Filippo Lanubile:
The challenges of sentiment detection in the social programmer ecosystem. SSE@SIGSOFT FSE 2015: 33-40 - 2014
- [j27]Filippo Lanubile, Rafael Prikladnicki, Erran Carmel, Rini van Solingen:
Resolving the challenges of time and distance. Empir. Softw. Eng. 19(5): 1195-1196 (2014) - [j26]Tiago Duarte, Rafael Prikladnicki, Fabio Calefato, Filippo Lanubile:
Speech Recognition for Voice-Based Machine Translation. IEEE Softw. 31(1): 26-31 (2014) - [c64]Fabio Calefato, Filippo Lanubile, Rafael Prikladnicki, João Henrique Stocker Pinto:
An empirical simulation-based study of real-time speech translation for multilingual global project teams. ESEM 2014: 56:1-56:9 - [c63]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
Investigating the Effect of Social Media on Trust Building in Customer-supplier Relationships. ICEIS (2) 2014: 635-642 - [c62]Fabio Calefato, Filippo Lanubile, Damiano Romita, Rafael Prikladnicki, João Henrique Stocker Pinto:
Mobile Speech Translation for Multilingual Requirements Meetings: A Preliminary Study. ICGSE 2014: 145-152 - [c61]Nicole Novielli, Fabio Calefato, Filippo Lanubile:
Towards discovering the role of emotions in stack overflow. SSE@SIGSOFT FSE 2014: 33-36 - [e3]Filippo Lanubile, Raian Ali:
Proceedings of the 6th International Workshop on Social Software Engineering, SSE 2014, Hong Kong, China, November 17, 2014. ACM 2014, ISBN 978-1-4503-3227-9 [contents] - 2013
- [j25]Filippo Lanubile, Fabio Calefato, Christof Ebert:
Group Awareness in Global Software Engineering. IEEE Softw. 30(2): 18-23 (2013) - [c60]Fabio Calefato, Filippo Lanubile, Nicole Novielli:
A Preliminary Investigation of the Effect of Social Media on Affective Trust in Customer-Supplier Relationships. ACII 2013: 25-30 - [c59]Ban Al-Ani, David F. Redmiles, Cleidson R. B. de Souza, Rafael Prikladnicki, Sabrina Marczak, Filippo Lanubile, Fabio Calefato:
Trust in virtual teams: theory and tools. CSCW Companion 2013: 301-306 - [c58]Fabio Calefato, Filippo Lanubile, Francesco Sportelli:
Can social awareness foster trust building in global software teams? SSE@ESEC/FSE 2013: 13-16 - [c57]Fabio Calefato, Filippo Lanubile:
SocialCDE: a social awareness tool for global software teams. ESEC/SIGSOFT FSE 2013: 587-590 - 2012
- [j24]Fabio Calefato, Daniela E. Damian, Filippo Lanubile:
Computer-mediated communication to support distributed requirements elicitations and negotiations tasks. Empir. Softw. Eng. 17(6): 640-674 (2012) - [c56]Fabio Calefato, Filippo Lanubile, Tayana Conte, Rafael Prikladnicki:
Assessing the impact of real-time machine translation on requirements meetings: a replicated experiment. ESEM 2012: 251-260 - [c55]Fabio Calefato, Filippo Lanubile:
Social Awareness for Global Software Teams. ICGSE 2012: 183 - [c54]