CHASE 2016 - 9th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2016)

Software is created for and with a wide range of stakeholders, from customers to management, from value-added providers to customer service personnel. These stakeholders work with teams of software engineers to develop and evolve software systems that support their activities. All of these people and their interactions are central to software development. Thus, it is crucial to investigate the dynamic and frequently changing Cooperative and Human Aspects of Software Engineering (CHASE), both before and after deployment, in order to understand current software practices, processes, and tools. In turn, this enables us to design tools and support mechanisms that improve software creation, software maintenance, and customer communication.
Researchers and practitioners have long recognized the need to investigate these aspects, however, their articles are scattered across conferences and communities. This workshop will provide a unified forum for discussing high quality research studies, models, methods, and tools for human and cooperative aspects of software engineering.
Workshop Organizers
Anita Sarma, Oregon State University, USA
Sandeep Athavale, Tata Research Development and Design Centre, Pune, India
Andrew Begel, Microsoft Research, USA
Daniel Graziotin, Free University of Bozen-Bolzano, Italy
Meira Levy, Shenkar, College of Engineering & Design, Israel
David Socha, University of Washington Bothell, USA
Workshop Themes
Software engineering is about making choices and decisions. Some of the critical decisions are informed by multiple viewpoints and experiences acquired from stakeholders. Methods, tools, and techniques have been shaped over many years by best practices learned from experience, but software engineers continually face new challenges and constraints. Addressing these challenges benefits from diverse perspectives, and this workshop welcomes submissions that embrace this variety.
Topics of interest include, but are not limited to, the following:
Software design philosophies, engineering practices, and tools that leverage human and cooperative aspects of software engineering;
Adapting tools and processes to accommodate a range of organizational and cultural situations;
Sociological and cultural characterizations of software engineering (e.g. trust, conflicts, norms);
Psychological and cognitive aspects of software engineering (e.g. motivation, rewards, personality types);
Managerial and organizational aspects of software engineering that focus on people and their interactions;
Software engineering as collaborative work, including behavioral incentives, social networking, communication, coordination, and decision-support tools;
Teamwork and cooperation in various development methodologies (e.g. agile, spiral, lean, waterfall, RAD);
Community-based software development, such as Open Source, crowdsourcing, and public-private partnerships, and attributes of these models (e.g. recruitment and retention of contributors, risk management);
Coordination, mutual awareness, and knowledge sharing in small-scale and large-scale software development, e.g. distributed software development, semi-anonymous collaboration, and “borderless” software teams;
Stakeholder participation in regard to design, ownership, training, degree of involvement, communication, interplay, and influence with developers, sustainability, and deployment;
Processes and tools to support communication and cooperation among stakeholders, including software developers, professionals, and customers over the lifetime of a system (requirements, design, development, testing, and maintenance).
Possible contributions include:
Empirical studies of software engineering teams or individuals in situ, using methods such as ethnographies, surveys, interviews, contextual inquiries, data mining, etc;
Laboratory studies of individual or team software engineering behavior;
Novel tools motivated by observed needs, such as new ways of capturing and accessing software-related knowledge, software orienteering systems, communication, collaboration, awareness tools, visualizations, etc;
Novel processes motivated by empirical investigations; and
Meta-research topics, such as effective validation of interventions or research methods.