Evidence relating to object-oriented software design: A survey

Izurieta, Clemente; Bieman, James M.

doi:10.1109/esem.2007.58

Cited by 88 publications

(61 citation statements)

References 3 publications

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“…This approach establishes a specific baseline state that could be further extended in a backward or forward direction to analyse changes over time. The systematic mapping (SM) method has been widely used in medical research [2] and was first adopted in software engineering research by Bailey et al [3]. A SM aims to provide a high-level view of the relevant research literature by classifying the work according to a series of defined categories and visualizing the status of a particular field of research [2] [4].…”

Section: Introductionmentioning

confidence: 99%

Research in Global Software Engineering: A Systematic Snapshot

Raza

MacDonell

Clear

2013

Communications in Computer and Information Science

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Abstract. This paper reports our extended analysis of the recent literature addressing global software engineering (GSE), using a new Systematic Snapshot Mapping (SSM) technique. The primary purpose of this work is to understand what issues are being addressed and how research is being carried out in GSEand comparatively, what work is not being conducted. We carried out the analysis in two stages. In the first stage we analyzed 275 papers published between January 2011 and June 2012, and in the second stage we augmented our analysis by considering a further 26 papers (from the 2013 International Conference on Global Software Engineering (ICGSE'13). Our results reveal that, currently, GSE studies are focused on management-and infrastructure-related factors, using principally evaluative research approaches. Most of the studies are conducted at the organizational level, mainly using methods such as interviews, surveys, field studies and case studies. The USA, India and China are major players in GSE, with USA-India collaborations being the most frequently studied, followed by USA-China. While a considerable number of GSE-related studies have been published since January 2011 they are currently quite narrowly focused, on exploratory research and explanatory theories, and the critical research paradigm has been untouched. An absence of formulative research, experimentation and simulation, and a related focus on evaluative approaches, all suggest that existing tools, methods and approaches from related fields are being tested in the GSE context, even though these may not be inherently applicable to the additional scale and complexity of GSE.

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Section: Introductionmentioning

confidence: 99%

Research in Global Software Engineering: A Systematic Snapshot

Raza

MacDonell

Clear

2013

Communications in Computer and Information Science

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“…Es con esta motivación que el estudio actual ha surgido de nuestro trabajo para recopilar, mapear y resumir los estudios primarios sobre modelado conceptual de procesos ETL para AD de manera precisa [7]. Un mapeo sistemático ofrece una visión sistemática de un área de investigación y permite evaluar la cantidad de pruebas existentes sobre un tema de interés [7] (véase, por ejemplo de Bailey et al mapeo de estudios [1]). …”

Section: Introductionunclassified

ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study

Mufioz

Mazón

Trujillo

2011

IEEE Latin Am. Trans.

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Abstract-BACKGROUND: A data warehouse (DW) is anintegrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, and Load) processes. It is therefore extensively recognized that the appropriate design of the ETL processes are key factors in the success of DW projects. OBJECTIVE: We assess existing research proposals about ETL process modeling for data warehouse in order to identify their main characteristics, notation, and activities. We also study if these modeling approaches are supported by some kind of prototype or tool. METHOD: We have undertaken a systematic mapping study of the research literature about modeling ETL processes. A mapping study provides a systematic and objective procedure for identifying the nature and extent of the available research by means of research questions. RESULTS: The study is based on a comprehensive set of papers obtained after using a multi-stage selection criteria and are published in international workshops, conferences and journals between 2000 and 2009. CONCLUSIONS: This systematic mapping study states that there is a clear classification of ETL process modeling approaches, but that they are not enough covered by researchers. Therefore, more effort is required to bridge the research gap in modeling ETL processes. [15]. Estas herramientas se diseñan desde la perspectiva lógica y en la mayoría de los casos, presentan algunos inconvenientes: (i) falta de especificidad, (ii) dependencia de la plataforma destino, (iii) la configuración y estructura son muy complejas, (iv) requieren grandes requerimientos de hardware y, por lo tanto, no son factibles para pequeños y medianos proyectos. Estas características pueden hacer difícil la integración en ambientes heterogéneos de ADs. Por estas razones y, además, por la larga curva de aprendizaje, y el alto costo de adquisición y mantenimiento, muchas organizaciones prefieren desarrollar sus propios procesos ETL. Keywords-Dada la importancia de los procesos ETL dentro del marco de desarrollo de ADs, en este artículo se pretende brindar una aproximación a través de un mapeo sistemático de estudios, de cuáles son los diferentes enfoques de modelado de procesos ETL, características relevantes de cada uno de ellos, actividades, notaciones y problemática presentada en cada enfoque. Es con esta motivación que el estudio actual ha surgido de nuestro trabajo para recopilar, mapear y resumir los estudios primarios sobre modelado conceptual de procesos ETL para AD de manera precisa [7]. Un mapeo sistemático ofrece una visión sistemática de un área de investigación y permite evaluar la cantidad de pruebas existentes sobre un tema de interés [7] (véase, por ejemplo de Bailey et al. mapeo de estudios [1]).El mapeo sistemático de estudios es una metodología que se utiliza con frecuencia en la investigación médica. El objetivo principal de un mapeo sistemático de estudios es

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“…Several mapping studies have been published in software engineering [9], such as on the classification of techniques for test-set generation and selection [10], on software development effort and cost estimation [11], on the use of experimental studies [12], on object-oriented design [13] and the use of patterns [14], on the usage of UML diagrams [15], on the empirical evaluation of software requirements specifications techniques [16], on software product lines [17,18], and on domain-specific languages [19]. These mapping studies vary in the form of analysis and in the number of included publications (between 35 and 400).…”

Section: Related Workmentioning

confidence: 99%

A Systematic Mapping Study on Modeling for Industry 4.0

Wortmann

Combemale

Barais

2017

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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Industry 4.0 is a vision of manufacturing in which smart, interconnected production systems optimize the complete value-added chain to reduce cost and time-to-market. At the core of Industry 4.0 is the smart factory of the future, whose successful deployment requires solving challenges from many domains. Model-based systems engineering (MBSE) is a key enabler for such complex systems of systems as can be seen by the increased number of related publications in key conferences and journals. This paper aims to characterize the state of the art of MBSE for the smart factory through a systematic mapping study on this topic. Adopting a detailed search strategy, 1466 papers were initially identified. Of these, 222 papers were selected and categorized using a particular classification scheme. Hence, we present the concerns addressed by the modeling community for Industry 4.0, how these are investigated, where these are published, and by whom. The resulting research landscape can help to understand, guide, and compare research in this field. In particular, this report identifies the Industry 4.0 challenges addressed by the modeling community, but also the challenges that seem to be less investigated.

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Evidence relating to object-oriented software design: A survey

Cited by 88 publications

References 3 publications

Research in Global Software Engineering: A Systematic Snapshot

Research in Global Software Engineering: A Systematic Snapshot

ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study

A Systematic Mapping Study on Modeling for Industry 4.0

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