Unanticipated Software Evolution. - Günter Kniesel; Joost Noppen; Tom Mens; Jim Buckley (ECOOP Workshops, 2002)

Market-driven approach based on Markov decision theory for optimal use of resources in software development. - Joost Noppen; Mehmet Aksit; Bedir Tekinerdogan; Victor F. Nicola (IEE Proc. Softw., 2004)

Comparison of two approaches to dynamic programming. - Pim van den Broek; Joost Noppen (SIGACT News, 2004)

Rankings from Fuzzy Pairwise Comparisons. - Pim van den Broek; Joost Noppen (CIMCA/IAWTIC, 2005)

Dealing with imprecise quality factors in software design. - Joost Noppen; Pim van den Broek; Mehmet Aksit (ACM SIGSOFT Softw. Eng. Notes, 2005)

The Compositional Rule of Inference and Zadeh's Extension Principle for Non-normal Fuzzy Sets. - Pim van den Broek; Joost Noppen (IFSA (2), 2007)

Imperfect Requirements in Software Development. - Joost Noppen; Pim van den Broek; Mehmet Aksit (REFSQ, 2007)

Imperfect Information in Software Design Processes. - Joost Noppen (2007)

Elimination of Constraints from Feature Trees. - Pim van den Broek; Ismênia Galvão; Joost Noppen (SPLC (2), 2008)

La traçabilité dans les lignes de produits logiciels. - Nicolas Anquetil; Joost Noppen; Ismênia Galvão (Obj. Logiciel Base données Réseaux, 2008)

Software development with imperfect information. - Joost Noppen; Pim van den Broek; Mehmet Aksit (Soft Comput., 2008)

Fuzzy Weighted Average - Analytical Solution. - Pim van den Broek; Joost Noppen (IJCCI, 2009)

Modelling Imperfect Product Line Requirements with Fuzzy Feature Diagrams. - Joost Noppen; Pim van den Broek; Nathan Weston; Awais Rashid (VaMoS, 2009)

ETAK: tailoring architectural evolution by (re-)using architectural knowledge. - Joost Noppen; Dalila Tamzalit (SHARK@ICSE, 2010)

Merging Feature Models. - Pim van den Broek; Ismênia Galvão; Joost Noppen (SPLC Workshops, 2010)

Modelling adaptability and variability in requirements. - Phil Greenwood; Ruzanna Chitchyan; Awais Rashid; Joost Noppen; Franck Fleurey; Arnor Solberg (RE, 2011)

Inferring test results for dynamic software product lines. - Bruno Barbieri Pontes Cafeo; Joost Noppen; Fabiano Cutigi Ferrari; Ruzanna Chitchyan; Awais Rashid (SIGSOFT FSE, 2011)

Clustering with proximity knowledge and relational knowledge. - Daniel Graves; Joost Noppen; Witold Pedrycz (Pattern Recognit., 2012)

Sustainability in software product lines. - Ruzanna Chitchyan; Joost Noppen; Iris Groher (SPLC, 2014)

What Can Software Engineering Do for Sustainability: Case of Software Product Lines. - Ruzanna Chitchyan; Joost Noppen; Iris Groher (PLEASE@ICSE, 2015)

Sustainability in Software Product Lines: Report on Discussion Panel at SPLC 2014. - Ruzanna Chitchyan; Joost Noppen; Iris Groher (CoRR, 2015)

Management challenges for DevOps adoption within UK SMEs. - Stephen Jones; Joost Noppen; Fiona Lettice (QUDOS@ISSTA, 2016)

Benchmarking and Comparison of Software Project Human Resource Allocation Optimization Approaches. - Sultan M. Al Khatib; Joost Noppen (ACM SIGSOFT Softw. Eng. Notes, 2016)

A Semi-Automated Approach for the Co-Refinement of Requirements and Architecture Models. - Dominique Blouin; Matthias Barkowski; Melanie Schneider; Holger Giese; Johannes Dyck; Etienne Borde; Dalila Tamzalit; Joost Noppen (RE Workshops, 2017)

Uncovering sustainability concerns in software product lines. - Ruzanna Chitchyan; Iris Groher; Joost Noppen (J. Softw. Evol. Process., 2017)

Contributing Features-Based Schemes for Software Defect Prediction. - Aftab Ali; Mamun I. Abu-Tair; Joost Noppen; Sally I. McClean; Zhiwei Lin 002; Ian R. McChesney (SGAI Conf., 2019)

Towards a low-code solution for monitoring machine learning model performance. - Panagiotis Kourouklidis; Dimitris S. Kolovos; Nicholas Matragkas; Joost Noppen (MoDELS (Companion), 2020)

A Model-Driven Engineering Approach for Monitoring Machine Learning Models. - Panagiotis Kourouklidis; Dimitris S. Kolovos; Joost Noppen; Nicholas Matragkas (MoDELS (Companion), 2021)

Microservice Maturity of Organizations - Towards an Assessment Framework. - Jean-Philippe Gouigoux; Dalila Tamzalit; Joost Noppen (RCIS, 2021)

Discriminating features-based cost-sensitive approach for software defect prediction. - Aftab Ali; Naveed Khan; Mamun I. Abu-Tair; Joost Noppen; Sally I. McClean; Ian R. McChesney (Autom. Softw. Eng., 2021)

A Domain-Specific Language for Monitoring ML Model Performance. - Panagiotis Kourouklidis; Dimitris S. Kolovos; Joost Noppen; Nicholas Matragkas (MoDELS (Companion), 2023)

Heterogeneous Cross-Project Defect Prediction Using Encoder Networks and Transfer Learning. - Radowanul Haque; Aftab Ali; Sally I. McClean; Ian Cleland; Joost Noppen (IEEE Access, 2024)

LLMs Love Python: A Study of LLMs' Bias for Programming Languages and Libraries. - Lukas Twist; Jie M. Zhang; Mark Harman; Don Syme; Joost Noppen; Detlef D. Nauck (CoRR, 2025)