A Systematic Literature Review of Requirements Engineering for Self-Adaptive Systems

During 2003 to 2013, the continuous effort of researchers and engineers particularly has resulted in a hugely grown body of work on engineering self-adaptive systems. Although existing studies have explored various aspects of this topic, no systematic study has been performed on categorizing and evaluating the requirement engineering for self-adaptive activities. The objective of this paper is to systematically investigate the research literature of requirements engineering for self-adaptive systems, summarize the research trends, categorize the used modeling methods and requirements engineering activities as well as the topics that most described. a systematic literature review has been conducted to answer the research questions by searching relevant studies, appraising the quality of these studies and extracting available data. From the study, a number of recommendations for future research in requirements engineering for self-adaptive systems has been derived. So that, enabling researchers and practitioners to better understand the research trends

Systematic Literature Review untuk Membuat Model Aplikasi Pemantauan Kesehatan Cardiovascular

Human Computer Interaction (HCI) research and in particular USAbility aspects for cardiovascular disease (CVD) health monitoring  application  in  the  developing  countries  have  been  an  underresearch phenomenon.  In  the  era  of digitization, heart patients are relying more on cardiovascular disease (CVD) health monitoring applications on mobile devices to monitor their hearts' conditions. In order for the applications to be USAble by the CVD patients, several USAbility aspects such as ease of use, learnability, effectiveness, flexibility and attitude of users are imperative in determining the USAbility of the applications. This research investigates the integration of USAbility aspects into CVD health monitoring application by USAbility engineers and system developers. This research employs Systematic Literature Review (SLR) method on USAbility aspects of CVD health monitoring applications. This research proposes a conceptual model called the Usability of Cardiovascular Health Monitoring Application Model (uCALM). The model aims to improve the USAbility aspects of CVD health monitoring application for the benefits of the patients and their cardiologists

A systematic literature review of group-based training interventions for informal carers: impact on the behavioural and psychological symptoms of dementia (BPSD)

Objectives: Caring for a relative with dementia can be extremely challenging especially when someone presents with behavioural and psychological symptoms of dementia (BPSD). The training provided to informal carers is varied and inconsistent. Group-based training programmes are often prescribed but their impact on care-recipient wellbeing and symptomology is yet to be well established. This review synthesises the literature on consensus, themes and effectiveness of informal-carer, group-based educational training programmes on BPSD symptoms. Methods: Ten papers were included of which very few considered BPSD outcomes as their primary aim of investigation. Results: Methodological and theoretical approaches across the empirical papers varied considerably. Generally, studies of higher quality and with some positive results on BPSD outcomes tended to incorporate teaching on structured problem-solving skills. Studies measuring for longer term changes also tended to conclude more beneficial outcomes. The length and duration of groups and the group-sizes appeared inconsequential to BPSD outcomes. Conclusion: The empirical evidence is weak for carer group interventions in the management of BPSD. Practice reasons for this are discussed. Future studies designed to measure BPSD as a primary outcome would be a welcome addition to the literature

Indicators of healthy architecture: A systematic literature review

The design of the built environment plays an important role as a determinant of health. As a society, we are spending an increasing proportion of our time indoors and now spend over 80% of our life inside, so the design of buildings can greatly impact on human health. Accordingly, architecture health indices (AHIs) are used to evidence the effects on human health associated with the design of buildings. AHIs provide quantitative and empirical data upon which architects, clients, users and other stakeholders might monitor and evaluate the healthiness (or otherwise) of architectural design. A systematic literature review was conducted to reveal the current state of knowledge, reveal gaps, explore potential usage and highlight best practice in this area. Whilst there are a number of different health indicators for the built/urban environments more generally, the scope of this review is limited to the scale of a building and specifically those aspects within the remit of a professional architect. In order to examine the range and characteristics of AHIs currently in use, this review explored three electronic bibliographic databases from January 2008 to January 2019. A two-stage selection was undertaken and screening against eligibility criteria checklist carried out. From 15 included studies, 127 documents were identified, and these included 101 AHI. A sample of the most commonly used AHIs was then analysed at an item level. The review reveals that most AHIs are limited to measuring communicable diseases that directly affect physical health through e.g. air quality or water quality. There are very few indicators focusing on factors affecting mental and social health; given the increase in mental and social health problems, greater focus on AHIs related to these health issues should be included. Furthermore, the research reveals an absence of AHIs that address non-communicable diseases (NCDs). As the majority of all poor health outcomes globally are now related to NCDs, and many are associated with the design of the built environment, there is an urgent need to address this situatio

Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Systematic literature review (SLR) automation: a systematic literature review

Context: A systematic literature review(SLR) is a methodology used to find and aggregate all relevant studies about a specific research question or topic of interest. Most of the SLR processes are manually conducted. Automating these processes can reduce the workload and time consumed by human. Method: we use SLR as a methodology to survey the literature about the technologies used to automate SLR processes. Result: from the collected data we found many work done to automate the study selection process but there is no evidence about automation of the planning and reporting process. Most of the authors use machine learning classifiers to automate the study selection process. From our survey, there are processes that are similar to the SLR process for which there are automatic techniques to perform them. Conclusion: Because of these results, we concluded that there should be more research done on the planning, reporting, data extraction and synthesizing processes of SLR

A systematic literature review on hospitality analytics

With the growth of data generated by all systems involved in a hotel, terms like big data and business analytics (BA) gain strength within the hotel industry. Business analytics can be used in hospitality management to increase business knowledge and to improve the decision-making process. This study's main questions are: RQ1 – Which are the main research attributes studied in the past two decades related to analytics in the hospitality sector? RQ2 – What are the main differences between business intelligence and business analytics? RQ3 – What are the main trends in business analytics? RQ4 – Which are the main business intelligence perceptions and beliefs? To answer these research questions, this article provides a literature review to systematize the research made in business analytics information systems in the hospitality industry. The results can help identify different research attributes and the most relevant theories developed in the past two decades related to business analytics tools.info:eu-repo/semantics/publishedVersio