Dr. Marcus Kessel

Dr. Marcus Kessel

Postdoctoral Researcher
University of Mannheim
Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik
B6, 28–29 – Room C 2.09
68159 Mannheim
Phone: +49 621 181-3913
Fax: +49 621 181-3909
E-mail: marcus.kesselmail-uni-mannheim.de
ORCID iD: 0000-0003-3088-2166
Consultation hour(s):
by appointment

Research Interests

Area: Convergence of Software Engineering, Data Science, and Experimental Methods, with a focus on Generative Software Engineering (AI-driven software development, software recommendation and behavior-aware analysis and comparison)

Research Interests

  • Program Analysis
    • Scalable, Synergetic Static and Dynamic Analysis (Observation)
    • Software Testing and Quality
  • Empirical Software Engineering and Measurement
    • Test-driven Software Experimentation
  • Mining Software Repositories (“Big Code”)
    • Code Retrieval & Recommendation (Software Reuse)
    • Software Analytics
  • AI-powered Software (“AIWare”)
    • Generative Artificial Intelligence in Software Engineering Tasks

Teaching

In recent years ...

  • FSS25 (upcoming ...)
    • CS 630 – Generative Software Engineering (Master)
  • HWS24
    • CS 500 – Advanced Software Engineering (Testing & Experimentation) (Master)
  • FSS24
    • CS 306 – Praktikum Software Engineering (Bachelor)
    • Big Data Engineering and Analysis (Hochschule Mannheim)
  • HWS23
    • CS 500 – Advanced Software Engineering (Master)
    • DHBW Mannheim (visiting lecturer): Advanced Software Engineering
  • FSS23
    • CS 470 – Python for Data Scientists (Master)
    • CS 308 – Softwaretechnik I (Bachelor)
    • Hochschule Mannheim (visiting lecturer): Big Data Engineering and Analysis
  • HWS22
    • CS 500 – Advanced Software Engineering (Master)
  • FSS22
    • CS 470 – Python for Data Scientists (Master)
    • Hochschule Mannheim (visiting lecturer): Big Data Engineering and Analysis
  • regular: Bachelor/Master Theses, Master Team Projects, Individual Projects
  • ...

Software Projects

LASSO – A Large-Scale Software Observatorium for the Dynamic Selection, Analysis and Comparison of Software

The LASSO platform (Software Observatorium) is hosted on GitHub

Projects (Grants)

Research Seed Capital (RiSC), Ministerium für Wissenschaft, Forschung und Kunst Baden Württemberg

  • Title: Automated Test Oracle Recommendation – AUTOR
  • Description: Harvesting test oracle information using the LASSO platform and generative artificial intelligence to recommend test oracles
  • Area of Research: Software Testing (Oracle Problem)
  • Duration: 2 years
  • Start: September 2023

Open Science Grants 2024, University of Mannheim

  • Title: TDSE-Hub: A Repository for Reproducible Test-driven Software Experiments
  • Description: A repository for reproducible experiments in test-driven software experimentation
  • Area of Research: Test-driven software experimentation
  • Duration: 1 year
  • Start: September 2024

Awards

Karin Islinger Prize

  • Description: Dissertation prize awarded by the Karin Islinger Stiftung

Publications

List of Publications

Dissertation

  • Title: LASSO – an observatorium for the dynamic selection, analysis and comparison of software
  • available here

Social Media