Due to the combinatorial explosion and the cost of executing software, it is quickly impossible to exhaustively explore the whole configuration space.
Hence, numerous works have investigated the idea of learning it from a small sample of configurations' measurements.
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.
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.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.The literature review therefore does not achieve its main goal of summarizing and categorizing knowledge.There is also the misconception that literature reviews are less rigorous or easier to write than empirical articles.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.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.to include also bibliographic studies, meta-analyses, and replication studies.Nevertheless, literature reviews have been and will continue to be a core element of MRQ.