D 2020

Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification

STREČANSKÝ, Peter, Stanislav CHREN and Bruno ROSSI

Basic information

Original name

Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification

Authors

STREČANSKÝ, Peter (703 Slovakia, belonging to the institution), Stanislav CHREN (703 Slovakia, belonging to the institution) and Bruno ROSSI (380 Italy, guarantor, belonging to the institution)

Edition

Brno, Czech Republic, 35th ACM/SIGAPP Symposium On Applied Computing, p. 121-124, 4 pp. 2020

Publisher

ACM

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/20:00115155

Organization unit

Faculty of Informatics

ISBN

978-1-4503-6866-7

DOI

UT WoS

000569720900017

Keywords in English

Software Technical Debt; Software Maintenance; Software Quality; Maintainability Index; SIG Method; SQALE

Tags

Tags

International impact, Reviewed
Změněno: 14/1/2021 10:54, Bruno Rossi, PhD

Abstract

V originále

Many techniques have emerged to evaluate software Technical Debt (TD). However, differences in reporting TD are not yet studied widely, as they can give different perceptions about the evolution of TD in projects. The goal of this paper is to compare three TD identification techniques: i. Maintainability Index (MI), ii. SIG TD models and iii. SQALE analysis. Considering 17 large open source Python libraries, we compare TD measurements time series in terms of trends in different sets of releases (major, minor, micro). While all methods report generally growing trends of TD over time, MI, SIG TD, and SQALE all report different patterns of TD evolution.

Links

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development project
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
MUNI/A/1411/2019, interní kód MU
Name: Aplikovaný výzkum: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, zpracování přirozeného jazyka a jazykové inženýrství, vizualizaci velkých dat a rozšířená realita.
Investor: Masaryk University, Category A