Home
  • Home
  • About Us
    • About Us
    • Management and Governance
      • Overview
      • Advisory Board
      • Executive Committee
      • Governance Committee
      • Operations Team
    • Lero Stories
    • Diversity
    • Careers
    • Logos and Guidelines
  • Research
    • Introduction
    • Blended Autonomous Vehicles
    • Empower
    • Publications
      • All Publications
      • Technical Reports
      • Public Reports
    • Lero Esports Science Research Lab
    • International Projects
  • Meet the Team
    • People Directory
    • Operations Team
    • Executive Committee
  • Industry
    • Overview
    • Our Partners
    • Testimonials
  • Impact & Excellence
    • Overview
    • Economic Impact
    • Spinout Companies
  • Education & Public Engagement
    • Overview
    • Education
    • Engaged Research
    • Software for All
  • News & Events
  • Open Science
    • Open Source Programme Office
    • Open Science Charter
    • Open Science Calendar of Events
  • Contact

Search form

Primary tabs

  • View(active tab)
  • Publications

Jim Buckley

Academic

You are here

  • Home
  • Our People
  • Jim Buckley
Jim Buckley's picture
University of Limerick

Contact Details

OFFICE:

TEL: +353-61-213531

EXPERTISE: Modernizing Legacy Systems

send email

Jim Buckley obtained an upper 2:1 Honours, BSc degree in Biochemistry from the University of Galway in 1989. In 1994 he was awarded an MSc degree in Computer Science from the University of Limerick and he followed this with a PhD in Computer Science from the same University in 2002. He currently works as an associate professor in the Computer Science and Information Systems Department at the University of Limerick, Ireland.

He is a Principal Investigator in Lero and leads and directs the TREES (Trustworthy, Responsible, Efficient Engineering of Software) centre of excellence within Lero: a €6 million centre funded entirely by industry. Follow this link to find out more about the centre and the research positions currently available.

He also leads the ARC group within Lero, a team dedicated to supporting software developers who are tasked with maintaining and evolving software systems. In this capacity, he has one of the most frequently cited articles in software evolution [1] and his work has substantially refined theories of software comprehension and information seeking: core subtasks in the evolving of software systems [2], [3], [4], [5]. He has also defined a state-of-the-art approach for evaluating software systems’ architectures, [6], [7], [8]. This approach has been (independently) identified as a leader in the field [9] and has been used by seven companies based in Ireland today.

More recently, he has focused the group on feature location; the task of identifying where in the source code a specified functionality of the system is implemented. In specific he has providing guidance to researchers designing empirical evaluations of their proposed feature location techniques [10], [11]. Under his leadership, the group have also developed approaches and illustrative prototype tools that are being used by his commercial partners [12], [13], [14] and one of which has been licensed to an international consultancy company who specializes in evolving mature legacy software systems.

As can be seen from the above, Dr. Buckley's research work is underpinned by close collaboration with industry, in line with the University’s strategic goal of being industry-led. He has worked with/continues to work with companies as diverse as IBM, Fidelity, Information Mosaic, ACI Ireland, QAD Ireland, Wood Group Kenny and the HSE. In these collaborations, problems are identified through consultation with the industrial partners and solutions are derived from both academic reviews and observation of practice. The resultant solutions are then trialed in industry, leading to further design refinements and renewed empirical trials.

If you have any software evolution issues in your company that you would like to discuss, we would be more than happy to hear from you at jim.buckley@Lero.ie.   

  • Publications
2022
Tsvyatkova D, Buckley J, Beecham S, Chochlov M, O'Keeffe IR, Razzaq A, Rekanar K, Richardson I, Welsh T, Storni C.  2022.  Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework. JMIR Mhealth Uhealth. 10:e30691.
O'Callaghan M.E, Abbas M, Buckley J, Fitzgerald B, Johnsom K, Laffey J, McNicholas B, O'Keeffe D, Beecham S, Razzaq A et al..  2022.  A National Survey of attitudes to COVID-19 Digital Contact Tracing in the Republic of Ireland. Digit Health.
Chochlov M, Ahmed GAftab, Patten JVincent, Lu G, Hou W, Gregg D, Buckley J.  2022.  Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection. 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME).
2021
Razzaq A, Ventresque A, Koschke R, De Lucia A, Buckley J.  2021.  The Effect of Feature Characteristics on the Performance of Feature Location Techniques. IEEE Transactions on Software Engineering. :1-1.
Rekanar K, Buckley S, Storni C, Tsvyatkova D, Richardson I, Buckley J, Abbas M, Beecham S, Chocklov M, Fitzgerald B et al..  2021.  Sentiment analysis of user feedback on the HSE’s Covid-19 contact tracing app. Irish Journal of Medical Science.
Storni C, Tsvyatkova D, Richardson I, Buckley J, Abbas R, Beecham S, Chochlov M, Fitzgerald B, Glynn L, Johnson K et al..  2021.  Toward a Compare and Contrast Framework for COVID-19 Contact Tracing Mobile Applications: A Look at Usability. HEALTHINF.
O'Connell J, Abbas M, Beecham S, Buckley J, Chochlov M, Fitzgerald B, Glynn L, Johnson K, Laffey J, Mcnicholas B et al..  2021.  Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature. JMIR Mhealth Uhealth. 9:e27753.
Albalawi Y, Buckley J, Nikolov N.  2021.  Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media . Journal of Big Data.
Sai ARajendra, Buckley J, Fitzgerald B, Le Gear A.  2021.  Taxonomy of centralization in public blockchain systems: A systematic literature review. Information Processing & Management. 58:102584.
Ma Z, Ryan C, Buckley J, Chocklov M.  2021.  Do Weibo Platform Experts Perform Better at Predicting Stock Market? 22nd Engineering Applications of Neural Networks Conference .

Pages

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • next ›

For further information

To find out more information about Lero or if you are interested in engaging with us.
Contact Us
Quick links
  • Disclaimer
  • Privacy statement
  • Contact us
  • Careers
  • View our recent newsletter
Stay In Touch
Subscribe to our
newsletter
View our latest
newsletter
Follow us

Contact
Tierney Building
University of Limerick
Ireland
Postcode : V94 NYD3
Tel: +353 61 213028 Fax: +353 61 213036 Email: info@lero.ie
euro
euro
euro

Copyright 2023  Lero