M2SmallLint : software health monitoring tool

  • Hayatou Oumarou University of Maroua
  • Nurul Rismayanti Universitas Muslim Indonesia, Makassar

Keywords: Software data visualization,, Software quality, Software metrics, Software tools

Abstract

Developing error-free applications is a major challenge for computer scientists. Tools to remedy this problem have been developed, notably Rule Checkers and proof assistants. As a particular case of error, a bug is by nature intangible, invisible and difficult to trace. We propose to investigate the correlations between the alerts generated by rule checkers and the internal quality of the software system. In this first version of the work, we present M2SmallLint, a tool for visualizing and navigating through source code properties in order to locate potential errors. This tool enables the visualization of software health.

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Published
2023-10-05
How to Cite
Hayatou Oumarou, & Nurul Rismayanti. (2023). M2SmallLint : software health monitoring tool. Indonesian Journal of Data and Science, 4(2), 130-135. https://doi.org/10.56705/ijodas.v4i2.90