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Tactic: Automate Test Case Generation Using AI

Tactic sort: Awesome Tactic
Type: Software Practice
Category: green-software-practice
Tags: ai  maintainability  testing 

Title

Automate Test Case Generation Using AI

Description

Leverage AI to generate executable test cases from specifications or source code. This increases coverage, detects edge cases that may be missed manually, and reduces regression risk, accelerating development and supporting continuous integration.

Participant

Developers; Test engineers

Related software artifact

Test suites

Context

Software projects requiring high test coverage and long-term maintainability

Software feature

Automated testing

Tactic intent

To improve software quality and reduce maintenance effort through automated test generation

Target quality attribute

Maintainability

Other related quality attributes

Reliability; Quality assurance

Measured impact

Reported by practitioners as the most frequently mentioned sustainability benefit in the study (4 mentions)

Source

Apoorva Nalini Pradeep Kumar, Justus Bogner, Markus Funke, Patricia Lago (2024) Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems (DOI: https://doi.org/10.1109/ICSA-C63560.2024.00045)


Graphical representation

  • Contact person
  • Patricia Lago (VU Amsterdam)
  •  disc at vu.nl
  •  patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel