A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Table 3 <s> Case studies help industry evaluate the benefits of methods and tools and provide a cost-effective way to ensure that process changes provide the desired results. However, unlike formal experiments and surveys, case studies do not have a well-understood theoretical basis. This article provides guidelines for organizing and analyzing case studies so that they produce meaningful results. > <s> BIB001 </s> A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Table 3 <s> Agile software development represents a major departure from traditional, plan-based approaches to software engineering. A systematic review of empirical studies of agile software development up to and including 2005 was conducted. The search strategy identified 1996 studies, of which 36 were identified as empirical studies. The studies were grouped into four themes: introduction and adoption, human and social factors, perceptions on agile methods, and comparative studies. The review investigates what is currently known about the benefits and limitations of, and the strength of evidence for, agile methods. Implications for research and practice are presented. The main implication for research is a need for more and better empirical studies of agile software development within a common research agenda. For the industrial readership, the review provides a map of findings, according to topic, that can be compared for relevance to their own settings and situations. <s> BIB002 </s> A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Table 3 <s> Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a cookbook when evaluating new methods or techniques before implementing them in their organization. <s> BIB003
Study dataset (continued) According to BIB003 , three different methods for empirical investigation are used to evaluate new techniques, methods and tools. The investigation includes types of experiments, surveys and case studies. Experiments are criteria for exploring the relationships such as identifying the correlation between two variables. Surveys are suitable forms of investigation when the method of study is in use for a while. While case studies are used for similar situations like that of experiments, but in this aspect they are observational studies BIB003 BIB001 . The empirical validation types identify for papers listed in Table 3 are summarise in Table 4 . A similar empirical classification used in BIB002 were adopted where a relevant concept in the domain is considered. Table 4 Empirical methods in the selected study