scholarly journals Defining and measuring microservice granularity—a literature overview

2021 ◽  
Vol 7 ◽  
pp. e695
Author(s):  
Fredy H. Vera-Rivera ◽  
Carlos Gaona ◽  
Hernán Astudillo

Background Microservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application’s quality attributes and usage of computational resources. Determining microservice granularity is an open research topic. Methodology We conducted a systematic literature review to analyze literature that addresses the definition of microservice granularity. We searched in IEEE Xplore, ACM Digital Library and Scopus. The research questions were: Which approaches have been proposed to define microservice granularity and determine the microservices’ size? Which metrics are used to evaluate microservice granularity? Which quality attributes are addressed when researching microservice granularity? Results We found 326 papers and selected 29 after applying inclusion and exclusion criteria. The quality attributes most often addressed are runtime properties (e.g., scalability and performance), not development properties (e.g., maintainability). Most proposed metrics were about the product, both static (coupling, cohesion, complexity, source code) and runtime (performance, and usage of computational resources), and a few were about the development team and process. The most used techniques for defining microservices granularity were machine learning (clustering), semantic similarity, genetic programming, and domain engineering. Most papers were concerned with migration from monoliths to microservices; and a few addressed green-field development, but none address improvement of granularity in existing microservice-based systems. Conclusions Methodologically speaking, microservice granularity research is at a Wild West stage: no standard definition, no clear development—operation trade-offs, and scarce conceptual reuse (e.g., few methods seem applicable or replicable in projects other than their initial proposal). These gaps in granularity research offer clear options to investigate on continuous improvement of the development and operation of microservice-based systems.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paolo Roffia ◽  
Stefania Moracchiato ◽  
Eric Liguori ◽  
Sascha Kraus

PurposeIn this study, we investigated the dilemma of devising an operational family business definition in the SME context. The existing family business literature mostly agrees with the validity of a theoretical model called F-PEC, which identifies family businesses by evaluating three dimensions: power, experience, and culture. Nonetheless, empirical studies on family SMEs still use just one or a few elements with many different thresholds to operationally define family SMEs, highlighting an unsolved definitional divergence among scholars, which limits the possibility of investigating the potential effects of family attributes on firms’ goals, structures, processes, and performance.Design/methodology/approachEmploying ancestry searching, online databases, and issue-by-issue searches from two decades (1990–2019), we analyzed 255 empirical studies that specified a family business’s operational definition (despite posing different research questions) and used a sample of small-sized and medium-sized enterprises (SMEs).FindingsResults showed ownership and governance/management are the most used elements in the operational definitions provided in the literature to date, but that there still is not a universally adopted operational definition of family SMEs in use today.Originality/valueThis paper is one of the first to comprehensively analyze and review the operationalized use of family SME definitions in the literature.


2021 ◽  
Author(s):  
Michael Ewens ◽  
Joan Farre-Mensa

The U.S. entrepreneurial finance market has changed dramatically over the last two decades. Entrepreneurs raising their first round of venture capital retain 30% more equity in their firm and are more likely to control their board of directors. Late-stage startups are raising larger amounts of capital in the private markets from a growing pool of traditional and new investors. These private market changes have coincided with a sharp decline in the number of firms going public--and when firms do go public, they are older and have raised more private capital. To understand these facts, we provide a systematic description of the differences between private and public firms. Next, we review several regulatory, technological, and competitive changes affecting both startups and investors that reveal how the trade-offs between going public and staying private have changed. We conclude by listing several open research questions.


2014 ◽  
pp. 79-130 ◽  
Author(s):  
Ales Novak

The term ?business model' has recently attracted increased attention in the context of financial reporting and was formally introduced into the IFRS literature when IFRS 9 Financial Instruments was published in November 2009. However, IFRS 9 did not fully define the term ‘business model'. Furthermore, the literature on business models is quite diverse. It has been conducted in largely isolated fashion; therefore, no generally accepted definition of ?business model' has emerged. Therefore, a better understanding of the notion itself should be developed before further investigating its potential role within financial reporting. The aim of this paper is to highlight some of the perceived key themes and to identify other bases for grouping/organizing the literature based on business models. The contributions this paper makes to the literature are twofold: first, it complements previous review papers on business models; second, it contains a clear position on the distinction between the notions of the business model and strategy, which many authors identify as a key element in better explaining and communicating the notion of the business model. In this author's opinion, the term ‘strategy' is a dynamic and forward-looking notion, a sort of directional roadmap for future courses of action, whereas, ‘business model' is a more static notion, reflecting the conceptualisation of the company's underlying core business logic. The conclusion contains the author's thoughts on the role of the business model in financial reporting.


2018 ◽  
Author(s):  
V.M. Alakin ◽  
G.S. Nikitin

Приведены результаты исследований экспериментального картофелекопателя с ротационной сепарирующей поверхностью. Особое внимание уделяется обоснованию конструктивных параметров и определению рабочих характеристик нового сепарирующего устройства. На основе анализа результатов экспериментальных исследований определены наиболее оптимальные режимы работы экспериментального картофелекопателя.Research results of an experimental potato digger with rotational separating web are published in this article. Special attention is paid to definition of design characteristics and performance data of the new separating device. Admissible operating modes are defined on the basis of the analysis of results of pilot studies of the experimental potato digger.


Author(s):  
Lennart E. Nacke

This chapter presents the physiological metrics used in Games User Research (GUR). Aimed at GUR professionals in the games industry, it explains what methods are available to researchers to measure biometric data while subjects are engaged in play. It sets out when it is appropriate to use biometric measures in GUR projects, the kind of data generated, and the differing ways it can be analysed. The chapter also discusses the trade-offs required when interpreting physiological data, and will help games researchers to make informed decisions about which research questions can benefit from biometric methodologies. As the equipment needed to collect biometric data becomes more sophisticated as well as cheaper, physiological testing of players during a game’s development will become more common. At the same time, Games User Researchers will become more discriminating in its use. Where in the past professionals in the games industry have used biometric testing to generate quick, actionable feedback about player responses to elements of a game, and have been less concerned with the scientific robustness of their methodology, as GUR develops a new breed of games industry professionals are attempting to deploy good academic practice in their researches.


Author(s):  
James G. March

Humans use reasons to shape and justify choices. In the process, trade-offs seem essential and often inevitable. But trade-offs involve comparisons, which are problematic both across values and especially over time. Reducing disparate values to a common metric (especially if that metric is money) is often problematic and unsatisfactory. Critically, it is not that values just shape choices, but that choices themselves shape values. This endogeneity of values makes an unconditional normative endorsement of modern decision-theoretic rationality unwise. This is a hard problem and there is no escaping the definition of good values, that is, those that make humans better. This removes the wall between economics and philosophy. If we are to adopt and enact this perspective, then greater discourse and debate on what matters and not just what counts will be useful and even indispensable.


Author(s):  
Fred Luthans ◽  
Carolyn M. Youssef

Over the years, both management practitioners and academics have generally assumed that positive workplaces lead to desired outcomes. Unlike psychology, considerable attention has also been devoted to the study of positive topics such as job satisfaction and organizational commitment. However, to place a scientifically based focus on the role that positivity may play in the development and performance of human resources, and largely stimulated by the positive psychology initiative, positive organizational behavior (POB) and psychological capital (PsyCap) have recently been introduced into the management literature. This chapter first provides an overview of both the historical and contemporary positive approaches to the workplace. Then, more specific attention is given to the meaning and domain of POB and PsyCap. Our definition of POB includes positive psychological capacities or resources that can be validly measured, developed, and have performance impact. The constructs that have been determined so far to best meet these criteria are efficacy, hope, optimism, and resiliency. When combined, they have been demonstrated to form the core construct of what we term psychological capital (PsyCap). A measure of PsyCap is being validated and this chapter references the increasing number of studies indicating that PsyCap can be developed and have performance impact. The chapter concludes with important future research directions that can help better understand and build positive workplaces to meet current and looming challenges.


Author(s):  
Maria Ciaramella ◽  
Nadia Monacelli ◽  
Livia Concetta Eugenia Cocimano

AbstractThis systematic review aimed to contribute to a better and more focused understanding of the link between the concept of resilience and psychosocial interventions in the migrant population. The research questions concerned the type of population involved, definition of resilience, methodological choices and which intervention programmes were targeted at migrants. In the 90 articles included, an heterogeneity in defining resilience or not well specified definition resulted. Different migratory experiences were not adequately considered in the selection of participants. Few resilience interventions on migrants were resulted. A lack of procedure’s descriptions that keep in account specific migrants’ life-experiences and efficacy’s measures were highlighted.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Marie-Camille Patoz ◽  
Diego Hidalgo-Mazzei ◽  
Bruno Pereira ◽  
Olivier Blanc ◽  
Ingrid de Chazeron ◽  
...  

Abstract Background Despite an increasing number of available mental health apps in the bipolar disorder field, these tools remain scarcely implemented in everyday practice and are quickly discontinued by patients after downloading. The aim of this study is to explore adherence characteristics of bipolar disorder patients to dedicated smartphone interventions in research studies. Methods A systematic review following PRISMA guidelines was conducted. Three databases (EMBASE, PsychInfo and MEDLINE) were searched using the following keywords: "bipolar disorder" or "mood disorder" or “bipolar” combined with “digital” or “mobile” or “phone” or “smartphone” or “mHealth” or “ehealth” or "mobile health" or “app” or “mobile-health”. Results Thirteen articles remained in the review after exclusion criteria were applied. Of the 118 eligible studies, 39 did not provide adherence characteristics. Among the selected papers, study length, sample size and definition of measures of adherence were strongly heterogeneous. Activity rates ranged from 58 to 91.6%. Conclusion The adherence of bipolar patients to apps is understudied. Standardised measures of adherence should be defined and systematically evaluated in future studies dedicated to these tools.


2021 ◽  
Author(s):  
Santiago Bouzas ◽  
María F. Barbarich ◽  
Eduardo M. Soto ◽  
Julián Padró ◽  
Valeria P. Carreira ◽  
...  

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