Muhammad Laiq : BTH

Muhammad Laiq

Doktorand

Institutionen för programvaruteknik, Rum J2339

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, 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, "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
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler, Emelie Engström, "Early Identification of Invalid Bug Reports in Industrial Settings – A Case Study", Lecture Notes in Computer Science, ISSN 0302-9743, EISSN 1611-3349, EISSN 13709, Product-Focused Software Process Improvement, Springer Science+Business Media B.V., 2022
Usman Nasir, Muhammad Laiq, "Threshold Concepts and Skills in Software Architecture", Asia Pacific Software Engineering Conference (APSEC), ISSN 15301362, Proceedings - Asia-Pacific Software Engineering Conference, APSEC, IEEE Computer Society, 2022