Model-driven gap analysis for the fulfillment of quality standards in software development processes

Abstract

Nowadays, society is moving to rapid digitalization of almost any aspect of our lives. From healthcare and transport to work or entertainment, we depend on software products that must function properly. The adequate construction of these software products can be evaluated and certi ed by means of quality standards. However, the adoption of quality standards is a complex and time-consuming task that requires experienced practitioners with advanced knowledge about the standards and development practices. This presents a dichotomy for development companies that are moving to more agile schemes, where the necessary expert knowledge about quality is not easy to get. To overcome these issues, this paper presents a model-driven approach to automate the analysis of software development processes that must be aligned to quality standards. The approach has been implemented in an open-source tool and applied to a case study to automatically generate a gap analysis by reusing expert knowledge related to the ISO 9001 standard. The application has demonstrated that is possible to reduce the effort required to perform the analysis and the improvement of development processes to assure the ful lment of speci c quality standards.

Perceived Benefits and Challenges of Implementing CMMI on Agile Project Management: A Systematic Literature Review

“…These constraints are particularly impacting Small and Mediumsized Enterprises (SMEs), as observed by Henríquez et al [27] and Saheel et al [11]. SMEs often operate with limited budgets and resources, making it challenging to sustain the additional demands of integrating CMMI [33], [38], [40], [41], [43]. This challenge can lead to difficulties in maintaining the balance between the pursuit of quality improvement and the practical realities of project management within these organizations.…”

“…The deficiency in specialized training covering the full spectrum of development activities can hinder the effective implementation of these methodologies. Furthermore, the absence of support from specialists in statistical and process management knowledge can leave project managers and process groups struggling to align organizational and project goals with critical subprocesses [30], [38].…”

“…Knowledge dissemination poses a challenge in large organizations, necessitating the development of non-bureaucratic processes that meet organizational needs. Software Process Improvement (SPI) methodology can extend Agile to enhance product innovation, quality, and efficiency [8], [27], [36], [38].…”