To enhance Effectiveness of Crowdsource Software Testing by applying Personality Types

Kamangar, Zainab Umair; Kamangar, Umair Ayaz; Arain, Qasim Ali; Farah, Isma; Nizamani, Shahzad; Ali, Tauha Hussain

doi:10.1145/3328833.3328838

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…The homogeneity in Conscientiousness (C-THI) and Extraversion (E-THI) traits were found to be strongly related to software quality and team productivity for the testing phase. These findings are partially supported by [31] and [38]. The traits that were found to be useful for implementation phase and testing phase are also useful for the analysis and design phase.…”

Section: B Implimentation Phasementioning

confidence: 52%

“…Kamangar et al [31] conducted a study (using MBTI) to find the relationship between the personalities of software testers and the efficiency of testing methods. The outcomes of this study revealed that testers with introvert personality types were more efficient in white box testing, on the other hand, extroverts were more productive in black-box testing.…”

Section: Related Workmentioning

confidence: 99%

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A Quantitative Assessment of the Impact of Homogeneity in Personality Traits on Software Quality and Team Productivity

Qamar

Malik

2022

IEEE Access

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Software industry is increasingly focusing on the improvement of software quality and team performance to survive in a competitive and rapidly growing environment. Previous studies reveal the importance of social and human factors in software engineering. Despite the importance of these personality factors, only a handful of empirical studies have quantitatively evaluated the impact of personality traits on software quality and effectiveness of software engineering teams. This study quantifies the abstract notion of trait-wise team homogeneity based on the Five-Factor Model (FFM). Additionally, this study also aims to measure its impact on team productivity and software quality. Trait-wise team homogeneity measures the Team Homogeneity Index (THI) for each of the five personality traits of FFM. Therefore, five new metrics i.e. Openness THI (O-THI), Conscientiousness THI (C-THI), Extraversion THI (E-THI), Agreeableness THI (A-THI), and Neuroticism THI (N-THI) are proposed. The utility of these five metrics is evaluated by conducting experiments in academic and industrial environments for three different phases of the Software Development Life Cycle (SDLC) i.e. analysis and design, implementation, and testing. During the analysis and design phase, it was observed that teams (composed of either students or professionals) with greater values of C-THI and A-THI produced better quality design models and teams with greater values of C-THI were more productive. In the implementation phase, teams with higher values of O-THI, C-THI, and E-THI were noticeably more productive and produced better quality code. For the testing phase, teams with greater values of C-THI and A-THI produced better quality test cases and were more productive. Results obtained so far indicate that the newly proposed five metrics -O-THI, C-THI, E-THI, A-THI, and N-THIappear to have the potential to aid managers and academics alike in building productive teams which can produce better quality software.

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Section: B Implimentation Phasementioning

confidence: 52%

Section: Related Workmentioning

confidence: 99%

A Quantitative Assessment of the Impact of Homogeneity in Personality Traits on Software Quality and Team Productivity

Qamar

Malik

2022

IEEE Access

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“…They [16] subsequently upgraded iRec to iRec 2.0 to address the inequity in recommendation results, where experienced workers were recommended for almost all tasks, while less-experienced workers were rarely recommended. Kamangar et al [17] have improved the validity of crowdsourced testing by applying personality types, specifically using the Myers-Briggs Type Indicator for measuring personality type. Xie et al [18] presented the challenge of achieving high test quality and expected test environment coverage in crowdsourced testing, called crowdsourced testing quality maximization under context coverage constraint (COCOON).…”

Section: Crowd Worker Recommendationmentioning

confidence: 99%

Optimizing Prioritization of Crowdsourced Test Reports of Web Applications through Image-to-Text Conversion

Xiao,

Wu,

Chen

et al. 2024

Symmetry

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Collating vast test reports is a time-consuming and laborious task in crowdsourced testing. Crowdsourced test reports are usually presented in two ways, one as text and the other as images, which have symmetrical content. Researchers have proposed many text- and image-based methods for prioritizing crowdsourced test reports of mobile applications. However, crowdsourced test reports of web applications typically have clearer textual descriptions of errors but noisier screenshots of errors. This gap motivates us to propose a method for prioritizing crowdsourced test reports of web applications to detect all errors earlier. In this paper, we integrate text and image information from test reports to enhance the analysis process. First, we use the natural language processing (NLP) technique to extract textual features of error descriptions and then symmetrically extract image features of error screenshots, i.e., we use the optical character recognition (OCR) technique to obtain textual information in the screenshots and then also use the NLP technique to extract features. To validate our approach, we conduct experiments on 717 test reports. The experimental results show that our method has a higher APFD (average percentage fault detection) and shorter runtime than state-of-the-art prioritization methods.

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“…The relationship between crowd-sourced software testing techniques and personality type has been proposed [12]. It has been identified that personality type with extrovert characteristic software testers is suitable at performing tasks related to black-box testing techniques.…”

Section: Related Workmentioning

confidence: 99%

“…In contrast, personality type with introvert characteristic software testers are suitable for performing white-box testing techniques. Also, it has been identified that software testers with personality types having dimension J are more suitable for performing tasks related to blackbox testing techniques [12].…”

Section: Related Workmentioning

confidence: 99%

Personality Characteristic-based Enhanced Software Testing Levels for Crowd Outsourcing Environment

2021

KSII TIIS

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Crowd-based outsourcing is an emerging trend in testing, which integrates advantages of crowd-based outsourcing in software testing. Open call format is used to accomplish various network tasks involving different types of testing levels and techniques at various places by software testers. Crowd-sourced software testing can lead to an improper testing process as if it does not allocate the right task to the right crowd with required skills and not choose the right crowd; it can lead to huge results, which become time-consuming and challenging crowdsource manager for the identification of improper one. The primary purpose of this research is to make crowd-based outsourced software testing more effective and reliable by relating association between the software tester, personality characteristic, and different levels of software testing, i.e., unit, integration, and system, in order to find appropriate personality characteristic for required testing level. This research has shown an observed experiment to determine which software testing level suits which personality characteristic tester in a crowdbased software testing environment. A total of 1000 software testers from different software houses and firms in Pakistan were registered to perform tasks at different software testing levels. The Myers-Briggs Type Indicator (MBTI) test is used to identify each tester's personality characteristic involved in this research study.

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To enhance Effectiveness of Crowdsource Software Testing by applying Personality Types

Cited by 8 publications

References 8 publications

A Quantitative Assessment of the Impact of Homogeneity in Personality Traits on Software Quality and Team Productivity

A Quantitative Assessment of the Impact of Homogeneity in Personality Traits on Software Quality and Team Productivity

Optimizing Prioritization of Crowdsourced Test Reports of Web Applications through Image-to-Text Conversion

Personality Characteristic-based Enhanced Software Testing Levels for Crowd Outsourcing Environment

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