Bach. Maria Murillo Quintana

Bach. Maria Murillo Quintana

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Proyectos

Publicaciones

Common Causes and Effects of Technical Debt in Costa Rica: InsighTD Survey Replication

Descripción:

Technical debt is a concept used to describe technical decisions that can benefit companies in the short term but can produce costs and software quality issues in the long term. Technical debt management can help enterprise profitability, sustainability, and the software industry's credibility. This paper presents a replication of the InsighTD survey (a globally distributed family of industrial surveys on causes and effects of TD), focusing on Costa Rica and comparing other regional countries. In total, 145 practitioners from the Costa Rican IT industry participated. Results show that the leading cause of technical debt is not technical (not only in Costa Rica but also in the region). On the other hand, the main effects reported are delivery delay and general dissatisfaction of the parties involved. A comparative study of InsighTD survey results in various countries is also included.

Tipo de publicación: Conference Paper

Publicado en: 2021 XLVII Latin American Computing Conference (CLEI)

Technical Debt Measurement during Software Development using Sonarqube: Literature Review and a Case Study

Descripción:

Technical debt comprises the construction of poor software during the development process, potentially leading to several problems for organizations. For this reason, it is convenient to measure it and apply timely strategies to prevent unwanted consequences. Technical debt identification and measurement may be supported by static analysis tools, such as Sonarqube. This paper aims to analyze, evaluate, and apply the technical debt metrics proposed by Sonarqube. We present a literature review about technical debt measurement with this tool and describe the results of a case study. Based on the literature review and the case study results, we analyze the advantages, disadvantages, and limitations of using Sonarqube for technical debt measurement. We conclude that there are several threats to the validity on the proposed metrics, which may lead to inaccurate results. However, Sonarqube can still support technical debt management during the software development process.

Tipo de publicación: Conference Paper

Publicado en: 2021 IEEE V Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)

Identification and Management of Technical Debt: A systematic mapping study update

Descripción:

Technical debt is a concept used to describe the lack of good practices during software development, leading to several problems and costs. Identification and management strategies can help reduce these difficulties. In a previous study, Alves et al. (2016) analyzed the research landscape of such strategies from 2010 to 2014. This paper replicates and updates their study to explore the evolution of technical debt identification and management research landscape over a decade, including literature from 2010 until 2022. We analyzed 117 papers from the ACM Digital Library, IEEE Xplore, Science Direct, and Springer Link. Newly suggested strategies include automatically identifying admitted debt in comments, commits, and source code. Between 2015 and 2022, more empirical evaluations have been performed, and the general research focus has changed to a more holistic approach. Therefore, the research area evolved and reached a new level of maturity compared to previous results from Alves et al. (2016). Not only are code aspects considered for technical debt, but other aspects have also been investigated (e.g., models for the development process).

Tipo de publicación: Journal Article

Publicado en: Journal of Software Engineering Research and Development