Tracy Hall

7.3k total citations · 3 hit papers
149 papers, 5.0k citations indexed

About

Tracy Hall is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Tracy Hall has authored 149 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Information Systems, 64 papers in Software and 27 papers in Artificial Intelligence. Recurrent topics in Tracy Hall's work include Software Engineering Research (115 papers), Software Engineering Techniques and Practices (76 papers) and Software Reliability and Analysis Research (57 papers). Tracy Hall is often cited by papers focused on Software Engineering Research (115 papers), Software Engineering Techniques and Practices (76 papers) and Software Reliability and Analysis Research (57 papers). Tracy Hall collaborates with scholars based in United Kingdom, Australia and United States. Tracy Hall's co-authors include David Bowes, Sarah Beecham, Nathan Baddoo, Austen Rainer, Steve Counsell, David Gray, Helen Sharp, Hugh Robinson, Jeffrey E. Froyd and Maura Borrego and has published in prestigious journals such as The Journal of Physical Chemistry, Journal of Neurophysiology and IEEE Transactions on Software Engineering.

In The Last Decade

Tracy Hall

143 papers receiving 4.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Systematic Literature Review on Fault Prediction Performance in Software Engineering

2011 823 citations Tracy Hall, David Bowes et al. profile →
Motivation in Software Engineering: A systematic literature review

2007 354 citations Nathan Baddoo, Tracy Hall et al. profile →
Researcher Bias: The Use of Machine Learning in Software Defect Prediction

2014 260 citations David Bowes, Tracy Hall et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tracy Hall	3.9k	2.0k	777	749	746	149	5.0k
Kent Beck	4.2k 1.1×	1.5k 0.8×	994 1.3×	1.5k 2.0×	524 0.7×	42	5.5k
Timothy C. Lethbridge	2.8k 0.7×	1.1k 0.6×	796 1.0×	1.2k 1.6×	209 0.3×	150	3.5k
Tore Dybå	5.1k 1.3×	1.0k 0.5×	1.0k 1.3×	941 1.3×	970 1.3×	67	6.5k
Shari Lawrence Pfleeger	5.6k 1.4×	2.3k 1.1×	1.1k 1.5×	1.8k 2.4×	654 0.9×	118	7.1k
Björn Regnell	6.1k 1.6×	2.1k 1.1×	1.3k 1.6×	2.5k 3.3×	761 1.0×	99	7.8k
Ward Cunningham	2.9k 0.8×	655 0.3×	569 0.7×	756 1.0×	549 0.7×	15	4.5k
Alistair Cockburn	5.4k 1.4×	1.1k 0.5×	1.0k 1.3×	1.7k 2.3×	1.3k 1.7×	40	7.3k
Anders Wesslén	3.8k 1.0×	1.6k 0.8×	1.0k 1.3×	1.5k 2.0×	414 0.6×	11	5.1k
Jeff Gray	1.3k 0.3×	1.1k 0.5×	450 0.6×	1.0k 1.4×	236 0.3×	258	2.6k
Magnus C. Ohlsson	3.8k 1.0×	1.7k 0.8×	1.1k 1.4×	1.5k 2.0×	399 0.5×	17	5.2k

Countries citing papers authored by Tracy Hall

Since Specialization

Citations

This map shows the geographic impact of Tracy Hall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tracy Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Hall more than expected).

Fields of papers citing papers by Tracy Hall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy Hall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tracy Hall. The network helps show where Tracy Hall may publish in the future.

Co-authorship network of co-authors of Tracy Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Hall. A scholar is included among the top collaborators of Tracy Hall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tracy Hall. Tracy Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hall, Tracy, et al.. (2024). Do Developers Use Static Application Security Testing (SAST) Tools Straight Out of the Box? A large-scale Empirical Study. 454–460.

Hall, Tracy, et al.. (2024). Semgrep*: Improving the Limited Performance of Static Application Security Testing (SAST) Tools. Brunel University Research Archive (BURA) (Brunel University London). 614–623. 5 indexed citations

Bowes, David, et al.. (2022). Improved Evaluation of Automatic Source Code Summarisation. 326–335.

Hall, Tracy. (2022). Business continuity beyond COVID-19: Lessons learned and the ‘illusion of preparedness’. PubMed. 16(1). 45–45.

Counsell, Steve, et al.. (2022). An 80-20 Analysis of Buggy and Non-buggy Refactorings in Open-Source Commits. 197–200.

Bowes, David, et al.. (2020). Exploiting fault localisation for efficient program repair. 311–312. 1 indexed citations

Bowes, David, et al.. (2017). How good are my tests. 9–14. 17 indexed citations

Counsell, Steve, et al.. (2017). Assert Use and Defectiveness in Industrial Code. arXiv (Cornell University). 25. 20–23. 1 indexed citations

Kırbaş, Serkan, Bora Çağlayan, Tracy Hall, et al.. (2017). The relationship between evolutionary coupling and defects in large industrial software. Journal of Software Evolution and Process. 29(4). 25 indexed citations

10.

Kırbaş, Serkan, Tracy Hall, & Alper Şen. (2016). Evolutionary coupling measurement: Making sense of the current chaos. Science of Computer Programming. 135. 4–19. 7 indexed citations

11.

Rainer, Austen & Tracy Hall. (2010). A quantitative and qualitative analysis of factors affecting software process improvement. University of Hertfordshire Research Archive (University of Hertfordshire). 43 indexed citations

12.

Hall, Tracy, et al.. (2009). Introduction to Stand-up Meetings in Agile Methods. AIP conference proceedings. 110–120. 10 indexed citations

13.

Hamza, Haitham S., Steve Counsell, Tracy Hall, & George Loizou. (2008). Code smell eradication and associated refactoring. Journal of Neurophysiology. 114(2). 102–107. 10 indexed citations

14.

Rainer, Austen, Tracy Hall, & Nathan Baddoo. (2006). A preliminary empirical investigation of the use of evidence based software engineering by under-graduate students. University of Hertfordshire Research Archive (University of Hertfordshire). 91–100. 16 indexed citations

15.

Oza, Nilay & Tracy Hall. (2005). Difficulties in Managing Offshore Software Outsourcing Relationships: An Empirical Analysis of 18 High Maturity Indian Software Companies. Journal of Information Technology Case and Application Research. 7(3). 25–41. 48 indexed citations

16.

Wernick, Paul & Tracy Hall. (2004). Can Thomas Kuhn's paradigms help us understand software engineering?. European Journal of Information Systems. 13(3). 235–243. 17 indexed citations

17.

Rainer, Austen & Tracy Hall. (2004). Identifying the causes of poor progress in software projects. 184–195. 7 indexed citations

18.

Hall, Tracy & Valerie Flynn. (2001). Ethical Issues in Software Engineering Research: A Survey of Current Practice. Empirical Software Engineering. 6(4). 305–317. 20 indexed citations

19.

Hall, Tracy, et al.. (1997). The Responsible Software Engineer: Selected Readings in It Professionalism. Springer eBooks. 8 indexed citations

20.

Hall, Tracy. (1970). What Do Developers Really Think AboutSoftware Quality. WIT transactions on information and communication technologies. 13. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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