A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Classification approach <s> Context: Currently, computer game development is one of the fastest growing industries in the worldwide economy. In addition to that, computer games are rapidly evolving in the sense that newer game versions arrive in a very short interval. Thus, software engineering techniques are needed for game development in order to achieve greater flexibility and maintainability, less cost and effort, better design, etc. In addition, games present several characteristics that differentiate their development from classical software development. Objective: This study aims to assess the state of the art on research concerning software engineering for computer games and discuss possible important areas for future research. Method: We employed a standard methodology for systematic literature reviews using four well known digital libraries. Results: Software engineering for computer games is a research domain that has doubled its research activity during the last 5years. The dominant research topic has proven to be requirements engineering, while topics such as software verification and maintenance have been neglected up to now. Conclusion: The results of the study suggest that software engineering for computer games is a field that embraces many techniques and methods from conventional software engineering and adapts them so as to fit the specific requirements of game development. In addition to that, the study proposes the employment of more elaborate empirical methods, i.e. controlled experiments and case studies, in game software engineering research, which, have not been extensively used up to now. <s> BIB001 </s> A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Classification approach <s> Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing systems. In order to apply this concept in design of applications for dynamic environments, it is necessary to understand what constitutes context awareness, the classification of context and context-aware development frameworks. The concept of context awareness is discussed, various approaches to context awareness are reviewed, and important aspects of context-aware mobile computing are analysed. Recommendations for better understanding of context awareness and design principles for development of context-aware applications are provided. <s> BIB002 </s> A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Classification approach <s> Abstract Our research works focuses on the design and implementation of a novel ubiquitous multi context-aware mobile phone sensing network for mitigation of crowd disasters using machine-to-machine (M2M) communications. A mobile sensor network system integrated with wireless multimedia sensor networks (WMSNs) was designed for effective prediction of a stampede during crowd disasters. This proposed sensor network consists of mobile devices that are used as crowd monitoring participant nodes that employ light sensors, accelerometers, as well as audio and video sensors to collect the relevant data. Real-time crowd dynamics modeling and real-time activity modeling have been achieved by implementing the algorithms developed for Context Acquisition and multi-context fusion. Dynamic crowd monitoring was achieved by implementing the context based region identification and grouping of participants, distributed crowd behavior estimation, and stampede prediction based on distributed consensus. The implementation of the proposed architecture in Android smartphone provides light-weight, easy to deploy, context aware wireless services for effective crowd disaster mitigation and generation of an in time alert to take measures to avoid the occurrence of a stampede. The system has been tested and illustrated within a group of people for stampede prediction by using empirically collected data. <s> BIB003 </s> A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters <s> Classification approach <s> We review the relevant articles in the field of scholar recommendations.We explore contextual information influential in scholar recommendations.We examine recommending approaches.Contextual information are categorised in three groups.The most recommending approaches are collaborative filtering, content based, knowledge based and hybrid. Incorporating contextual information in recommender systems is an effective approach to create more accurate and relevant recommendations. This review has been conducted to identify the contextual information and methods used for making recommendations in digital libraries as well as the way researchers understood and used relevant contextual information from the years 2001 to 2013 based on the Kitchenham systematic review methodology. The results indicated that contextual information incorporated into recommendations can be categorised into three contexts, namely users' context, document's context, and environment context. In addition, the classical approaches such as collaborative filtering were employed more than the other approaches. Researchers have understood and exploited relevant contextual information through four ways, including citation of past studies, citation of past definitions, self-definitions, and field-query researches; however, citation of the past studies has been the most popular method. This review highlights the need for more investigations on the concept of context from user viewpoint in scholarly domains. It also discusses the way a context-aware recommender system can be effectively designed and implemented in digital libraries. Additionally, a few recommendations for future investigations on scholarly recommender systems are proposed. <s> BIB004
Scientific research papers are normally categorised based on their methods and approach.  , BIB002 and BIB003 2 have identified context acquisition, sensing, modelling, inference  BIB004 as contending issues in context-awareness services using context interaction. The classification used in this study is employed from similar SLR research articles such as BIB001 , relating the whole idea to the concept of research of interest conducted in this study. The key scientific approach categories explained in  includes empirical, exploratory and descriptive approaches. Empirical reveal findings of direct or indirect observation of physical or actual subjects; exploratory approach assists in the determination of the best research design, the data collection method and selection of subject; it is used under a situation where the research problem is not clearly defined. On the other hand, a descriptive paper normally describes a system such as tool or methods. Table 2 Quality assessment Note: * is the baseline line study that led to the motivation of this SLR in disaster mitigation presented in this paper.