Empirical extension of a classification framework for addressing consistency in model based development

Abstract

Context: Consistency constitutes an important aspect in practical realization of modeling ideas in the process of software development and in the related research which is diverse. A classification framework has been developed, in order to aid the model based software construction by categorizing research problems related to consistency. However, the framework does not include information on the importance of classification elements.Objective: The aim was to extend the classification framework with information about the relative importance of the elements constituting the classification. The research question was how to express and obtain this information.Method: A survey was conducted on a sample of 24 stakeholders from * the corresponding author Email addresses: lku@bth.se ( Ludwik Kuzniarz ), lef@csd.auth.gr ( Lefteris Angelis ) questionnaire. Specifically, the respondents prioritized perspectives and issues using an extended hierarchical voting scheme based on the hundred dollar test. The numerical data obtained were first weighted and normalized and then they were analyzed by descriptive statistics and bar charts.Results: The detailed analysis of the data revealed the relative importance of consistency perspectives and issues under different views, allowing for the desired extension of the classification framework with empirical information. The most highly valued issues come from the pragmatics perspective.These issues are the most important for tool builders and practitioners from industry, while for the responders from academia theory group some issues from the concepts perspective are equally important. Conclusion:The method of using empirical data from a hierarchical cumulative voting scheme for extending existing research classification framework is useful for including information regarding the importance of the classification elements.

Prioritizing agile benefits and limitations in relation to practice usage

“…Research studies using a similar research methodology as this study, but with different research questions, have obtained 18 answers [39] and 24 answers [24], using convenience sampling. The same sampling strategy (relying mainly on personal contacts in Poland and Sweden) in combination with the use of agile forums and communities (Twitter, Meetup, LinkedIn, agile communities, Yahoo and Google groups) has been applied in this study.…”

“…There was a need to structure the data analysis approach and apply a method that would make it possible to show the relation among factors within groups as well as from a global perspective (all factors). Kuzniarz and Angelis developed a framework, EHV-F [24] to analyze hierarchical cumulative voting data. The validity of the framework has been checked in [24].…”

“…Kuzniarz and Angelis developed a framework, EHV-F [24] to analyze hierarchical cumulative voting data. The validity of the framework has been checked in [24].…”

“…An investigation of agile benefits and limitations is followed by creating a ranking considering the relative significance of the benefits and limitations as perceived by practitioners in relation to 1. and 2. To capture the information an extended hierarchical voting analysis framework [24] is used. Hierarchical voting is a common approach in research studies to capture relative priorities [39,24,37].…”

“…To capture the information an extended hierarchical voting analysis framework [24] is used. Hierarchical voting is a common approach in research studies to capture relative priorities [39,24,37].…”