A Systematic Literature Review

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The pattern "sampling, measuring, learning" has emerged in the literature, with several practical interests for both software developers and end-users of configurable systems.

In this survey, we report on the different application objectives (e.g., performance prediction, configuration optimization, constraint mining), use-cases, targeted software systems and application domains.

Systematic literature review is necessary while performing secondary research.

Systematic literature review searches, identifies, selects, appraises, and synthesizes research evidence relevant to the question using methodology that is explicit, reproducible, and leads to minimum bias.

The aim of this literature review is to systematically identify, review and critically evaluate existing health economics models in dementia.

We included the full spectrum of dementia, including Alzheimer’s disease (AD), from preclinical stages through to severe dementia and end of life.We review the various strategies employed to gather a representative and cost-effective sample.We describe automated software techniques used to measure functional and non-functional properties of configurations.Literature reviews have given the journal a unique identity and are crucial in the pursuit of the journal’s aim, which is to summarize, categorize, and challenge existing knowledge in business and management research.In this editorial, we outline six tips that help (MRQ) authors to improve their literature review.Systematic reviewing is a method that was developed in medicine and health to enable efficient access to sound research evidence and thereby improve health care decisions and outcomes.It is an important step in Evidence Based Practice.The findings from this systematic review show that the potential application objective is important; there are a vast number of case studies reported in the literature from the basis of several domains and software systems.Yet, the huge variant space of configurable systems is still challenging and calls to further investigate the synergies between artificial intelligence and software engineering.Because literature reviews are so prevalent, there exist already several comprehensive resources that guide authors through the steps necessary to conduct a literature review (e.g., Aguinis et al. Surprisingly, there is a still considerable variance in the understanding of what a literature review is and, consequently, in the quality of systematic literature reviews.Often, researchers seem unfamiliar with the process, structure, and presentation of systematic literature reviews and produce merely descriptive, annotated bibliographies of loosely connected research, which makes it unnecessary complex and difficult for the readers to follow the literature review.


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