Conference Information

CHASE' 2027: International Conference on Cooperative and Human Aspects of Software Engineering

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Submission Date:
2026-10-23 Due in 53 days
Notification Date:
2026-12-18
Conference Date:
2027-04-26
Location:
Dublin, Ireland
Years:
ICORE: B   Viewed: 10747   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

63.1 / 100
Ranked #474 of 5,646 conferences · Top 9%

#62 of 246 in Software Engineering

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
82
Community attention (10%)
10
Public record completeness (15%)
70

Inputs used: Listed as ICORE B · Editions on record: 20 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-08-30

Call For Papers

CHASE' 2027 (International Conference on Cooperative and Human Aspects of Software Engineering) is a ICORE B conference held in Dublin, Ireland on 2027-04-26. The paper submission deadline is 2026-10-23. Acceptance notifications are sent on 2026-12-18.

CHASE 2027 Theme Modern software development is fundamentally a team endeavor, yet many challenges in software engineering stem from how people collaborate, coordinate, communicate, and make decisions together. The team of the 20th edition of CHASE, we put forward the theme that emphasizes the importance of people and collaboration, echoing the old African proverb: If you want to go fast, go alone. If you want to go far, go together. We are specially interested in eliciting submissions that advance our understanding of software teamwork. We welcome empirical studies and methodological contributions related to team dynamics, collaboration tools, distributed and hybrid work, leadership, coordination, communication, team psychological safety, diversity and inclusion, and teamwork with, and especially in addition to AI. Submissions need not be limited to the annual theme; CHASE 2027 welcomes all high-quality work within the broader scope of cooperative and human aspects of software engineering. Scope Topics of interest are human, cooperative, and collaborative aspects of software engineering, including, but not limited to: Social, psychological, emotional, cognitive, and human-centric aspects of software development, whether at the levels of individual, pair, group, team, organization, or community. Social and human aspects of work from anywhere (WFX), remote, and hybrid settings in software development. Roles, practices, conventions, and patterns of behavior, whether in technical or non-technical activities, and whether in generic or specialized domains. Issues of leadership, (self-)organization, cooperation, culture, management, socio-technical (in)congruence, stakeholder groups. Processes and tools (whether existing, prototypical, or simulated) to support teamwork and participation among software engineering stakeholders, whether co-located or distributed. Role of soft skills (e.g., communication, collaboration, teamwork, organization, negotiation, conflict management) for software engineers. Ethics, moral principles, and techniques intended to inform the development and responsible use of AI/ML-enabled systems. Research on designing and using technologies that affect software development groups, organizations, and communities (e.g., Open Source, knowledge-sharing communities, crowdsourcing, etc). Equity, diversity, and inclusion (e.g., gender, race, ethnicity, disability, socioeconomic background, sexual orientation, etc., fostering inclusion, allyship, covering, privilege, organizational culture) in software engineering. Educational and training related to human and cooperative aspects of software engineering. Software Engineering, AI, and humans, including the effects of AI on software activities, developers’ perceptions of AI tool integration, emergence of new tools and roles due to AI, prompt engineering in Large Language Models (LLM). Datasets that can lay a foundation for future research on human aspects of software engineering. Replication studies of studies that fit the CHASE scope. Meta-research studies that fit the CHASE scope.
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