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Context: We investigate the different perceptions of quality provided by leading operational quality models when used to evaluate software systems from an industry perspective. Goal: To compare and evaluate the quality assessments of two competing quality models and to develop an extensible solution to meet the quality assurance measurement needs of an industry stakeholder -The Construction Engineering...
Technical debt has been the subject of numerous studies over the last few years. To date, most of the research has concentrated on management (detection, quantification, and decision making) approaches-most performed at code and implementation levels through various static analysis tools. However, if practitioners are to adopt model driven techniques, then the management of technical debt also requires...
Technical debt is a well understood yet understudied phenomena. A current issue is the verification and validation of proposed methods for technical debt management in the context of agile development. In practice, such evaluations are either too costly or too time consuming to be conducted using traditional empirical methods. In this paper, we describe a set of simulations based on models of the...
Technical debt has recently become a major concern in the software industry. While it has been shown that technical debt has an adverse effect on the quality of a software system, there has been little work to explore this relationship. Further, with the growing number of approaches to estimate the technical debt principal of a software system, there is a dearth of work to empirically validate the...
Measurements are subject to random and systematic errors, yet almost no study in software engineering makes significant efforts in reporting these errors. Whilst established statistical techniques are well suited for the analysis of random error, such techniques are not valid in the presence of systematic errors. We propose a departure from de- facto methods of reporting results of technical debt...
Network Exchange Objects (NEO) is a new software framework designed to facilitate development of complex natural or built distributed system models, where the system model is represented as a graph, through which currencies (e.g., coding information) flux. This paper introduces "system-level hypothesis (SLH) testing" as a form of computational thinking that will drive integration of computational...
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