Extending Behavioral Software Engineering: Decision-Making and Collaboration in Human-AI Teams for Responsible Software Engineering
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866913931537154048 |
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| author | Rani, Lekshmi Murali |
| author_facet | Rani, Lekshmi Murali |
| contents | The study of behavioral and social dimensions of software engineering (SE) tasks characterizes behavioral software engineering (BSE);however, the increasing significance of human-AI collaboration (HAIC) brings new directions in BSE by presenting new challenges and opportunities. This PhD research focuses on decision-making (DM) for SE tasks and collaboration within human-AI teams, aiming to promote responsible software engineering through a cognitive partnership between humans and AI. The goal of the research is to identify the challenges and nuances in HAIC from a cognitive perspective, design and optimize collaboration/partnership (human-AI team) that enhance collective intelligence and promote better, responsible DM in SE through human-centered approaches. The research addresses HAIC and its impact on individual, team, and organizational level aspects of BSE. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09496 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Extending Behavioral Software Engineering: Decision-Making and Collaboration in Human-AI Teams for Responsible Software Engineering Rani, Lekshmi Murali Software Engineering The study of behavioral and social dimensions of software engineering (SE) tasks characterizes behavioral software engineering (BSE);however, the increasing significance of human-AI collaboration (HAIC) brings new directions in BSE by presenting new challenges and opportunities. This PhD research focuses on decision-making (DM) for SE tasks and collaboration within human-AI teams, aiming to promote responsible software engineering through a cognitive partnership between humans and AI. The goal of the research is to identify the challenges and nuances in HAIC from a cognitive perspective, design and optimize collaboration/partnership (human-AI team) that enhance collective intelligence and promote better, responsible DM in SE through human-centered approaches. The research addresses HAIC and its impact on individual, team, and organizational level aspects of BSE. |
| title | Extending Behavioral Software Engineering: Decision-Making and Collaboration in Human-AI Teams for Responsible Software Engineering |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2504.09496 |