In the last decades, software systems become pervasive in almost all areas of society growing in size, complexity, and functionality. This continuous growth demands the study, development, and implementation of new Software Engineering (SE) methodologies and tools (e.g., software analysis and design, software portability, formal verification and validation, software measurement, and software maintenance) to build more reliable software. However, despite the introduction of innovative approaches and paradigms useful in the SE field, their technological transfer on a larger scale has been very gradual and still almost limited. This is due to the critical aspects of SE with respect to other well-founded engineering disciplines since SE is strongly influenced by social aspects (i.e., human knowledge, skills, expertise, and interactions) that are highly context-driven, non-mechanical, and strongly based on context and semantic knowledge. Human factor characterizes many of the problems associated with SE, including those observed in development effort estimation, software quality and reliability prediction, software design, and software testing.