Using biometric data in software engineering: a systematic mapping study

Menzen, Juliano Paulo; Farias, Kleinner; Bischoff, Vinícius

doi:10.1080/0144929x.2020.1734086

Cited by 10 publications

(6 citation statements)

References 59 publications

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“…This protocol addresses essential steps defined in well established guidelines [58] to plan and create a systematic mapping of the literature. In addition, our study protocol was also defined based on previously validated systematic mapping studies [9,52,10,34,33,7,74,67]…”

Section: Methodsmentioning

confidence: 99%

Usage of Psychophysiological Data as an Improvement in the Context of Software Engineering: A Systematic Mapping Study

Vieira

Farias

2020

XVI Brazilian Symposium on Information Systems

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In recent years, many studies have applied wearable devices to capture psychophysiological data from software developers. However, the current literature lacks investigations that classify the studies and point out gaps to be explored. This article, therefore, seeks to present a comprehensive overview of the literature by classifying and creating a systematic map of the works. Besides, it seeks to pinpoint research gaps, challenges, and trends. Based on widely known guidelines, a systematic mapping of the literature was designed and run to answer eight research questions. After applying a careful filtering process, we selected 27 representative studies from a sample of 2,084 potentially relevant works retrieved from seven digital libraries. The main results are: a classification scheme of the published studies was produced; there is no predominance of the devices used to capture psychophysiological data; over 50% of the studies have explored indicators related to mental states and neural activity; and 80% have analyzed composite data to understand the cognitive load and in the context of understanding debugging programs and strategies. Our findings can benefit researchers and students by creating a systematic map of the literature, being a starting point for future research.

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Section: Methodsmentioning

confidence: 99%

Usage of Psychophysiological Data as an Improvement in the Context of Software Engineering: A Systematic Mapping Study

Vieira

Farias

2020

XVI Brazilian Symposium on Information Systems

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“…Table 2 shows the main terms and alternative terms. The selection of these terms considered their relevance to the research field, as well as strategies used and validated in previous works (Bischoff et al, 2021;Luz & Farias, 2020;Menzen et al, 2021).…”

Section: Search Strategymentioning

confidence: 99%

“…Our mapping study follows well-known practical guidelines (Petersen et al, 2015;Petersen et al, 2008). Moreover, it is based on the authors' experience in carrying out previous mapping studies (Bischoff et al, 2021;Carbonera et al, 2020;Menzen et al, 2021;Vieira & Farias, 2020). In total, 35 primary studies were selected, analyzed, and categorized after applying a careful filtering process to a sample of 894 candidate studies to answer six research questions.…”

Section: Introductionmentioning

confidence: 99%

On the prediction of source code design problems: A systematic mapping study

Silva

Farias

Kunst³

2023

JART

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Context: Nowadays, the prediction of source code design problems plays an essential role in the software development industry, identifying defective architectural modules in advance. For this reason, some studies explored this subject in the last decade. Researchers and practitioners often need to create an overview of such studies considering the predictors of design problems, their main contributions, the used prediction techniques and research methods. Problem: However, the current literature remains scarce of studies proposing a detailed mapping of studies already published. Objective: This article, therefore, focuses on classifying the current literature and pinpointing trends and challenges worth investigating in this research field. Method: A systematic mapping of the literature was designed and performed based on well-established practical guidelines. In total, 35 primary studies were selected, analyzed, and categorized after applying a careful filtering process from a corpus of 894 candidate studies to answer six research questions. Results: The main results are that a majority of the primary studies (1) explore Bloater bad smells, (2) use code complexity and size as predictors, (3) apply machine learning techniques to generate predictions, and (4) present a prediction proposal without an extensive empirical assessment. Conclusions: Predicting design problems is still in its infancy, showing that there is plenty of room for future work. Finally, this study can serve as a starting point for the research community

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“…Several review studies were presented previously [6], [10], [15]. Weber et al identified 89 studies in the field of software engineering that used neural activity, such as brain activity and autonomic nervous systems, and showed that there are 4 types of contributions that can be made by the study of neural activity, [15]: (1) contributions to understanding human factors (2) improvement in software development, (3) investigation of software-understanding methods, and (4) development of software systems that adapt to the user's mental state.…”

Section: A Review Of Software Engineering Studies Using Biosignalsmentioning

confidence: 99%

“…Weber et al identified 89 studies in the field of software engineering that used neural activity, such as brain activity and autonomic nervous systems, and showed that there are 4 types of contributions that can be made by the study of neural activity, [15]: (1) contributions to understanding human factors (2) improvement in software development, (3) investigation of software-understanding methods, and (4) development of software systems that adapt to the user's mental state. Menzen et al identified 40 major studies that used biosignals in software engineering, categorized their types and themes, and pointed out the lack of application in real-world development environments [10]. Gonçales et al selected 33 studies that used biosignals to estimate cognitive load and investigated the challenges in realistic scenarios, noting the lack of accuracy in machine learning, [6].…”

Section: A Review Of Software Engineering Studies Using Biosignalsmentioning

confidence: 99%

Will you use software development support using biosignals? A survey from software developers

Soga,

Kanuka,

Kubo

et al. 2023

International Conferences on Software Engineering and Knowledge Engineering

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Biosignals reflect the mental states of software developers and could improve support technologies for software development activities. Although several technologies for software development support using biosignals (BioSDS) have been proposed, BioSDShas not yet been deployed in actual software development workplaces. As a prerequisite for industrial deployment, BioSDS must be well understood and accepted by software developers. However, the current level of their acceptance has not been comprehensively assessed. In this study, we conducted a survey to clarify the current level of acceptance of BioSDS and potential attributes that influence the level of acceptance. We defined eleven use-cases based on six previous primary studies related to BioSDS, and then asked developers at Hitachi, a Japanese IT company in the FORTUNE 500, about the level of acceptance of each use-case. Our analysis of eighty-six responses revealed that four out of eleven use-cases had some level of acceptance by software developers. In addition, we found four attributes that affect the level of acceptance: subject to be measured, objectives, interventions, and timing. These findings help to identify barriers to the adoption of BioSDS in the workplace.

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Using biometric data in software engineering: a systematic mapping study

Cited by 10 publications

References 59 publications

Usage of Psychophysiological Data as an Improvement in the Context of Software Engineering: A Systematic Mapping Study

Usage of Psychophysiological Data as an Improvement in the Context of Software Engineering: A Systematic Mapping Study

On the prediction of source code design problems: A systematic mapping study

Will you use software development support using biosignals? A survey from software developers

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