Published September 29, 2021 | Version v1

Analyzing Static Analysis Metric Trends towards Early Identification of Non-Maintainable Software Components

  • 1. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece

Description

The provided dataset contains the data used by "Analyzing Static Analysis Metric Trends towards Early Identification of Non-Maintainable Software Components", in order to evaluate the maintainability degree of a software class and identify software components that will eventually become non-maintainable.

Files

antlr4.csv

Files (58.3 MB)

Name Size
md5:ddb0130245aea365afe443f0f3712df1
12.8 MB Preview Download
md5:bcd27976045232927ec3cfa121d4d565
17.2 MB Preview Download
md5:d267511ad49cfa012440c2c7484bd518
28.4 MB Preview Download