Topics of interest for all tracks include but are not limited to:

Empirical evaluations of program comprehension tools, techniques, and approaches;

Human aspects in program comprehension, including gender considerations in program comprehension, information processing strategies, the role of emotions in program comprehension, and more;

Cognitive theories for program comprehension, including experiments, empirical studies, and case studies;

Collaborative software engineering practices for program comprehension;

Individual, collaborative, distributed, and global program comprehension;

Novel visualization techniques and interfaces to support program comprehension, including searching, browsing and analyzing;

Novel text summarisation techniques and interfaces to support program comprehension, including searching, browsing and analyzing;

Comprehension of specific types of software systems, such as open/closed source, mobile applications, spreadsheets, web-based systems, legacy systems, product lines, libraries, multi-threaded applications, and systems of systems;

Comprehension in the context of diverse software process models and specific lifecycle activities, such as: maintenance, evolution, re-engineering, migration, security, auditing, and testing;

Comprehension of software artifacts ranging from requirements documents to test cases and crash logs; from API documentation to models, meta-models and model transformation; and from Stack Overflow questions & answers to GitHub code review messages - all artifacts software developer encounters when creating or evolving software;

Comprehension and legal issues, such as due diligence, intellectual property, reverse engineering, and litigation;

Issues and case studies in the transfer of program comprehension technology to industry;

Tool support for program comprehension.