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3 Annals of Computer Science and Information Systems

3 2019

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Supporting source code annotations with metadata-aware development environment

Juhár Ján

Annals of Computer Science and Information Systems

2019

Vol. 18

411--420

To augment source code with high-level metadata with the intent to facilitate program comprehension, a programmer can use annotations. There are several types of annotations: either those put directly in the code or external ones. Each type comes with a unique workflow and inherent limitations. In this paper, we present a tool providing uniform annotation process, which also adds custom metadata-awareness for an industrial IDE. We also report an experiment in which we sought whether the created annotating support helps programmers to annotate code with comments faster and more consistently. The experiment showed that with the tool the annotating consistency was significantly higher but also that the increase in annotating speed was not statistically significant.

Project management tasks in agile projects: a quantitative study

Miller Gloria

Annals of Computer Science and Information Systems

2019

Vol. 18

717--721

Recent studies have confirmed the efficacy of agile methodologies in project success. However, can projects skip several project management tasks and still deliver the expected results? How are traditional project managers engaged in agile projects? The results from this study quantify subjective and theoretical speculation on who performs the project management tasks in agile projects. Project managers are engaged in agile projects and the team, the product owner, and project sponsor are significantly involved in project management tasks. The agile coach is not a substitute for the project manager. The study identifies that agile and traditional methodologies should be updated to clarify team, product owner, and agile coach responsibilities.

Handling of categorical data in software development effort estimation: a systematic mapping study

Amazal Fatima Azzahra, Idri Ali

Annals of Computer Science and Information Systems

2019

Vol. 18

763--770

Producing reliable and accurate estimates of software effort remains a difficult task in software project management, especially at the early stages of the software life cycle where the information available is more categorical than numerical. In this paper, we conducted a systematic mapping study of papers dealing with categorical data in software development effort estimation. In total, 27 papers were identified from 1997 to January 2019. The selected studies were analyzed and classified according to eight criteria: publication channels, year of publication, research approach, contribution type, SDEE technique, Technique used to handle categorical data, types of categorical data and datasets used. The results showed that most of the selected papers investigate the use of both nominal and ordinal data. Furthermore, Euclidean distance, fuzzy logic, and fuzzy clustering techniques were the most used techniques to handle categorical data using analogy. Using regression, most papers employed ANOVA and combination of categories.