Understanding Self-Efficacy in the Context of Software Engineering: A
Qualitative Study in the Industry
- URL: http://arxiv.org/abs/2305.17106v2
- Date: Fri, 2 Jun 2023 18:30:20 GMT
- Title: Understanding Self-Efficacy in the Context of Software Engineering: A
Qualitative Study in the Industry
- Authors: Danilo Monteiro Ribeiro and Rayfran Rocha Lima and C\'esar Fran\c{c}a
and Alberto de Souza and Isadora Cardoso-Pereira and Gustavo Pinto
- Abstract summary: Self-efficacy is a concept researched in various areas of knowledge that impacts various factors such as performance, satisfaction, and motivation.
This study aims to understand the impact on the software development context with a focus on understanding the behavioral signs of self-efficacy.
- Score: 2.268415020650315
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: CONTEXT: Self-efficacy is a concept researched in various areas of knowledge
that impacts various factors such as performance, satisfaction, and motivation.
In Software Engineering, it has mainly been studied in the academic context,
presenting results similar to other areas of knowledge. However, it is also
important to understand its impact in the industrial context. OBJECTIVE:
Therefore, this study aims to understand the impact on the software development
context with a focus on understanding the behavioral signs of self-efficacy in
software engineers and how self-efficacy can impact the work-day of software
engineers. METHOD: A qualitative research was conducted using semi-structured
questionnaires with 31 interviewees from a software development company located
in Brazil. The interviewees participated in a Bootcamp and were later assigned
to software development teams. Thematic analysis was used to analyze the data.
RESULTS: In the perception of the interviewees, 21 signs were found that are
related to people with high and low self-efficacy. These signs were divided
into two dimensions: social and cognitive. Also, 18 situations were found that
can lead to an increase or decrease of self-efficacy of software engineers.
Finally, 12 factors were mentioned that can impact software development teams.
CONCLUSION: This work evidences a set of behavioral signs that can help team
leaders to better perceive the self-efficacy of their members. It also presents
a set of situations that both leaders and individuals can use to improve their
self-efficacy in the development context, and finally, factors that can be
impacted by self-efficacy in the software development context are also
presented. Finally, this work emphasizes the importance of understanding
self-efficacy in the industrial context.
Related papers
- Understanding the relationships between the perceptions of burnout and instability in Software Engineering [0.0]
burnout is a recognized disease that impacts productivity, turnover, and, most importantly, developers' well-being.
This study aims to identify and describe the relationship between perceived instability and burnout among software developers.
arXiv Detail & Related papers (2025-02-14T15:59:30Z) - Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience [3.001523463519739]
Emotional Intelligence (EI) can impact Software Engineering (SE) outcomes through improved team communication, conflict resolution, and stress management.
Despite EI's documented importance in professional practice, SE education continues to prioritize technical knowledge over emotional and social competencies.
This paper analyzes SE students' self-perceptions of their EI after a two-month cooperative learning project.
arXiv Detail & Related papers (2025-02-07T17:29:08Z) - Evaluation of OpenAI o1: Opportunities and Challenges of AGI [112.0812059747033]
o1-preview demonstrated remarkable capabilities, often achieving human-level or superior performance.
The model excelled in tasks requiring intricate reasoning and knowledge integration across various fields.
Overall results indicate significant progress towards artificial general intelligence.
arXiv Detail & Related papers (2024-09-27T06:57:00Z) - Productive self/vulnerable body: self-tracking, overworking culture, and conflicted data practices [0.0]
This paper situates self-tracking in an overworking culture in China and draws on semi structured and in depth interviews with overworking individuals.
It builds on the current literature of self-tracking and engages with theories from Science and Technology Studies.
The paper argues that the productivity and value oriented assumptions and workplace culture shape the imaginary of intensive (and sometimes impossible) self-care and health.
arXiv Detail & Related papers (2024-07-24T20:11:26Z) - Qualifying and Quantifying the Benefits of Mindfulness Practices for IT Workers [1.773892642867228]
This study proposes mindfulness to alleviate stress and improve mental well-being for IT workers.
During an 8-week program, IT workers learn about mindfulness, coupled with breathing practices.
arXiv Detail & Related papers (2024-05-23T10:11:14Z) - Overwhelmed software developers: An Interpretative Phenomenological
Analysis [43.18707677931078]
We interviewed two software developers who have experienced overwhelm recently.
We uncover seven categories of overwhelm (communication, disturbance, organizational, variety, technical, temporal, and positive overwhelm)
Participants reported that overwhelm can sometimes be experienced to be positive and pleasant, and it can increase their mental focus, self ambition, and productivity.
arXiv Detail & Related papers (2024-01-05T12:39:08Z) - Expanding the Role of Affective Phenomena in Multimodal Interaction
Research [57.069159905961214]
We examined over 16,000 papers from selected conferences in multimodal interaction, affective computing, and natural language processing.
We identify 910 affect-related papers and present our analysis of the role of affective phenomena in these papers.
We find limited research on how affect and emotion predictions might be used by AI systems to enhance machine understanding of human social behaviors and cognitive states.
arXiv Detail & Related papers (2023-05-18T09:08:39Z) - Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A
Survey [71.43956423427397]
We aim to identify the nonverbal cues and computational methodologies resulting in effective performance.
This survey differs from its counterparts by involving the widest spectrum of social phenomena and interaction settings.
Some major observations are: the most often used nonverbal cue, computational method, interaction environment, and sensing approach are speaking activity, support vector machines, and meetings composed of 3-4 persons equipped with microphones and cameras, respectively.
arXiv Detail & Related papers (2022-07-20T13:37:57Z) - AI Explainability 360: Impact and Design [120.95633114160688]
In 2019, we created AI Explainability 360 (Arya et al. 2020), an open source software toolkit featuring ten diverse and state-of-the-art explainability methods.
This paper examines the impact of the toolkit with several case studies, statistics, and community feedback.
The paper also describes the flexible design of the toolkit, examples of its use, and the significant educational material and documentation available to its users.
arXiv Detail & Related papers (2021-09-24T19:17:09Z) - Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units
and a Unified Framework [83.21732533130846]
The paper focuses on large in-the-wild databases, i.e., Aff-Wild and Aff-Wild2.
It presents the design of two classes of deep neural networks trained with these databases.
A novel multi-task and holistic framework is presented which is able to jointly learn and effectively generalize and perform affect recognition.
arXiv Detail & Related papers (2021-03-29T17:36:20Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.