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Automated Maintenance of Node.js Programs – Reducing the Workload of Software Developers

PhD defence, Friday, November 26, 2021. Martin Toldam Torp

2021.11.26 | Mette Nielsen

Martin Toldam Torp

During his PhD studies, Martin Toldam Torp has researched many of the challenges facing software developers that use the highly popular Node.js development platform. Node.js programs need ongoing maintenance to reduce security risks, fix bugs, and meet new customer requirements. Martin’s research has contributed with new program analysis tools that help automate parts of these maintenance tasks. The tools reduce the maintenance workload of programmers, and thereby help ensure that maintenance tasks are completed faster.

The PhD study was completed at the Department of Computer Science, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, November 26, 2021 at 09:00
Place: Building 5342 (Ada), room 333, Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N

Title of PhD thesis: Techniques and Tools for Supporting Maintenance of Node.js Programs
Contact information: Martin Toldam Torp, e-mail: torp@cs.au.dk, tel.: +45 42656464

Members of the assessment committee:
Professor Eric Bodden, Software Engineering at Paderborn University and Co-director at Fraunhofer Institute for Mechatronic Systems Design, Germany
Associate Professor Jens Dietrich, School of Engineering and Computer Science, Victoria University of Wellington, New Zealand
Associate Professor Christian Storm Pedersen, Department of Computer Science – Bioinformatics Research Centre, Aarhus University (chairman)

Main supervisor:
Professor Anders Møller, Department of Computer Science, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.    

The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS, Katrinebjergvej 89F, building 5132, 8200 Aarhus N.

PhD defence
16882 / i43