Muhammad Laiq

Muhammad Laiq

Doktorand

muhammad.laiq@bth.se

Institutionen för programvaruteknik, Rum J2339

0455-385857 

Muhammad Laiq är doktorand vid institutionen för programvaruteknik, Blekinge Tekniska Högskola, Sverige.
Han tog sin dubbla magisterexamen i European Master in Software Engineering från Uleåborgs universitet, 
Finland, och polytekniska universitetet i Madrid, Spanien (2020). Hans forskningsintressen inkluderar 
Software Analytics, Mining Software Repositories och AI4SE.

Projekt och publikationer

Nyligen publicerat
Muhammad Laiq, "Software Analytics for Supporting Practitioners in Bug Management", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, EISSN 12153, EISSN 2025:02, Blekinge Tekniska Högskola, 2025
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler, Emelie Engström, "Industrial adoption of machine learning techniques for early identification of invalid bug reports", Empirical Software Engineering, ISSN 1382-3256, EISSN 1573-7616, Vol. 29, nr 5, Springer, 2024
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler, Emelie Engström, "Software analytics for software engineering", 2024
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler, Emelie Engström, "A data-driven approach for understanding invalid bug reports", Information and Software Technology, ISSN 0950-5849, EISSN 1873-6025, Vol. 164, Elsevier, 2023
Muhammad Laiq, "An Intelligent Tool for Classifying Issue Reports", Proceedings - 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering, NLBSE 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023