1,720,956 research outputs found
Detector-based Component Model Abstraction for Microservice-Based Systems
One of the chief problems in software architecture is avoiding architecture model drift and erosion in all kinds of complex software systems. Microservice-based systems introduce new challenges in this context, as they often use a large variety of technologies in their latest iteration, and are changed and released very frequently. Existing solutions that can be used to reconstruct architecture models fall short in addressing these new challenges, as they cannot easily cope with continuous evolution, their accuracy is too low, and highly polyglot settings are not supported well. In this work, we report on a research study aiming to design a highly accurate architecture model abstraction approach for comprehending component architecture models of highly polyglot systems that can cope with continuous evolution. After analyzing the results of related studies, we found two possible architecture model abstraction approaches that meet the requirements of our study: an opportunistic, and a reusable semi-automatic detector-based approach. We have conducted an empirical case study for validation and comparison of the two approaches. We conclude that both detector approaches are feasible. In our case study, the reusable approach breaks even in terms of time and effort needed for establishing reuse, if modest reuse of detectors is possible, and is producing slightly more high quality and evolution-stable solutions than the opportunistic approach
Trend visualization of quality metrics in software portfolios : a visual expert system for software quality analysis on portfolio level
Compared to past monolithic approaches, today’s companies host a large amount of various, modular and also very polyglot software components in their portfolios. Ensuring high software quality standards within these portfolios is a huge challenge and requires new strategies, as monitoring quality metrics only on the project level is no longer sufficient enough for making important decisions. Regarding the management of single software repositories, quality managers have access to a large number of research papers and tools, but the same is not true when it comes to quality analysis on portfolio level: Despite its increasing relevance, there does not exist much supportive material, neither academically, nor commercially. In an attempt to close this research gap further, this work presents the prototype of an expert tool for visualizing and analyzing software quality metrics at portfolio level. The specific requirements for developing the prototype are determined by collecting the concrete information needs of quality managers from various sources. The implementation itself is divided in two separate parts: First, a data mining process, used to extract the necessary quality metrics from a software portfolio, is developed, and based on that, the actual interactive expert system to visualize the collected trend data, is realized. A concluding scenario-based expert evaluation confirmed that the prototype, due to its holistic approach and various configuration options, provides analyzing and monitoring software portfolios’ quality in a way actual tools in this area do not yet provide. Furthermore, the insights gained through the development of this prototype, together with the concrete information needs of quality experts on the portfolio level collected in this work, lay the foundation for further research in this area.Softwareportfolios heutiger Unternehmen bestehen aus einer Vielzahl modularer, teilweise äußerst polyglotter Einzelkomponenten. Das Qualitätsmanagement dieser Softwareportfolioserfordert neue Ansätze, da hier die Überwachung von Qualitätsmetriken auf Projektebene allein nicht mehr ausreichend ist, um wichtige strategische Entscheidungen zu treffen. Während Qualitätsmanager bei der Analyse und Wartung einzelner Softwareprojekte auf eine Vielzahl an Untersuchungen und Werkzeugen zurück greifen können,ist das Qualitätsmanagement auf Portfolioebene, trotz seiner zunehmenden Relevanz,bisher ein wenig beachtetes Gebiet, weder aus akademischer, noch aus kommerziellerSicht. Um diese Forschungslücke weiter zu schließen, präsentiert diese Arbeit den Prototypen eines Expertensystems zur Visualisierung und Analyse von Softwaremetriken auf Portfolioebene. Die konkreten Anforderungen an den Prototypen ergeben sich aus den aus verschiedenenQuellen gewonnenen Informationsbedürfnissen von Qualitätsmanagern im Portfoliobereich. Die Implementierung selbst erfolgt in zwei separaten Teilkomponenten: Einem Data-Mining-Prozess, um die erforderlichen Qualitätsmetriken aus einem Softwareportfolio zu extrahieren und aus dem eigentlichen, interaktiven Expertensystem zur Visualisierung der gesammelten Trenddaten. Eine abschließende, szenariobasierte Expertenevaluierung konnte bestätigen, dass der Prototyp durch seinen holistischen Ansatz und seine Konfigurierbarkeit neue Möglichkeiten im Portfolio Qualitätsmanagement bietet, die so von existierenden Tools bisher nicht angeboten werden. Die durch den Prototypen gewonnen Erkenntnisse, ebenso wie die im Rahmen dieser Arbeit gesammelten konkreten Informationsbedürfnisse von Qualitätsexperten auf Ebene der Software Portfolios, legen einen Grundstein für mögliche weitere Forschungen in diesem Gebiet
Identifying Domain-Based Cyclic Dependencies in Microservice APIs Using Source Code Detectors
Isolation, autonomy, and loose coupling are critical success factors of microservice architectures, but unfortunately, systems tend to become strongly coupled over time and sometimes even exhibiting cyclic communication chains. These cycles can even manifest on a conceptual or domain level, making them hard to track for algorithms that rely solely on static analysis. Accordingly, previous attempts to detect cycles either focused on synchronous communication or had to collect additional runtime data, which can be costly and time-consuming. We suggest a novel approach for identifying and evaluating domain-based cyclic dependencies in microservice systems based on modular, reusable source code detectors. Based on the architecture model reconstructed by our detectors, we derived a set of architectural metrics for identifying and classifying domain-based cyclical dependencies. By conducting two case studies on open-source microservice architectures, we validated the feasibility and applicability of our approach
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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