7 research outputs found
Opinion Mining for Software Development: A Systematic Literature Review
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing attention in software engineering (SE) studies.
SE researchers have applied opinion mining techniques in various contexts, such as identifying developers’ emotions expressed in
code comments and extracting users’ critics toward mobile apps. Given the large amount of relevant studies available, it can take
considerable time for researchers and developers to figure out which approaches they can adopt in their own studies and what perils
these approaches entail.
We conducted a systematic literature review involving 185 papers. More specifically, we present 1) well-defined categories of opinion
mining-related software development activities, 2) available opinion mining approaches, whether they are evaluated when adopted in
other studies, and how their performance is compared, 3) available datasets for performance evaluation and tool customization, and 4)
concerns or limitations SE researchers might need to take into account when applying/customizing these opinion mining techniques.
The results of our study serve as references to choose suitable opinion mining tools for software development activities, and provide
critical insights for the further development of opinion mining techniques in the SE domain
Quality Properties of Execution Tracing, an Empirical Study
The authors are grateful to all the professionals who participated in the focus
groups; moreover, they also express special thanks to the management of the companies involved for
making the organisation of the focus groups possible.Data are made available in the appendix including the results of the
data coding process.The quality of execution tracing impacts the time to a great extent to locate errors in software components; moreover, execution tracing is the most suitable tool, in the majority of the cases, for doing postmortem analysis of failures in the field. Nevertheless, software product quality models do not adequately consider execution tracing quality at present neither do they define the quality properties of this important entity in an acceptable manner. Defining these quality properties would be the first step towards creating a quality model for execution tracing. The current research fills this gap by identifying and defining the variables, i.e., the quality properties, on the basis of which the quality of execution tracing can be judged. The present study analyses the experiences of software professionals in focus groups at multinational companies, and also scrutinises the literature to elicit the mentioned quality properties. Moreover, the present study also contributes to knowledge with the combination of methods while computing the saturation point for determining the number of the necessary focus groups. Furthermore, to pay special attention to validity, in addition to the the indicators of qualitative research: credibility, transferability, dependability, and confirmability, the authors also considered content, construct, internal and external validity
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