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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bhatia, A., Eghan, E. E., Grichi, M., Cavanagh, W. G., Jiang, Z. M., & Adams, B. (2023). Towards a change taxonomy for machine learning pipelines Empirical study of ML pipelines and forks related to academic publications. Empirical Software Engineering, 28(3), 60 (34 pages). External link
Barrak, A., Eghan, E. E., & Adams, B. (2021, March). On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects [Paper]. 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. External link
Barrak, A., Eghan, E. E., Adams, B., & Khomh, F. (2021). Why do builds fail? A conceptual replication study. Journal of Systems and Software, 177, 15 pages. External link
Eghan, E. E., Moslehi, P., Rilling, J., & Adams, B. (2020). The missing link A semantic web based approach for integrating screencasts with security advisories. Information and Software Technology, 117, 16 pages. External link
Foundjem, A. T., Eghan, E. E., & Adams, B. (2021, May). Onboarding vs. Diversity, Productivity and Quality — Empirical Study of the OpenStack Ecosystem [Paper]. 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). External link
Foundjem, A. T., Eghan, E. E., & Adams, B. (2021, May). An Open Dataset for Onboarding new Contributors–Empirical Study of OpenStack Ecosystem [Paper]. 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings (ICSE-Companion 2021). External link
Grichi, M., Abidi, M., Jaafar, F., Eghan, E. E., & Adams, B. (2020, December). On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI) [Abstract]. 20th International Conference on Software Quality, Reliability, and Security (QRS 2020), Macau, China. Published in IEEE Transactions on Reliability, 70(1). External link
Grichi, M., Abidi, M., Jaafar, F., Eghan, E. E., & Adams, B. (2020, December). On the Impact of Inter-language Dependencies in Multi-language Systems [Paper]. IEEE 20th International Conference on Software Quality, Reliability and Security (QRS 2020), Macau, China (1 page). External link
Grichi, M., Eghan, E. E., & Adams, B. (2020, September). On the Impact of Multi-language Development in Machine Learning Frameworks [Paper]. 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). External link
