Requirement patterns: a tertiary study and a research agenda

Kudo, Taciana Novo; Bulcão-Neto, Renato de Freitas; Vincenzi, Auri Marcelo Rizzo

doi:10.1049/iet-sen.2019.0016

Cited by 12 publications

(13 citation statements)

References 22 publications

(39 reference statements)

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“…This section's goal is three-fold: first, it introduces research method types that helped ground the doctoral project; second, it describes two systematic studies performed from planning to results analysis; and it demonstrates how these studies' results contributed to the definition of the PhD research proposal (Kudo, 2021). Figure 1 illustrates how the best available evidence provided by the systematic studies -tertiary review (Kudo et al, 2020a) and systematic mappings (Kudo et al, 2019a,b) -guided decisions during the PhD project reported in this paper. Each step in Figure 1 is described next.…”

Section: From Systematic Studies To a Phd Research Projectmentioning

confidence: 99%

Using evidence from systematic studies to guide a PhD research in Requirements Engineering: an experience report

Kudo

Bulcão-Neto

Vincenzi

et al. 2022

JSERD

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Conducting systematic studies during a postgraduate program, such as systematic review, systematic mapping, and tertiary review, can benefit the project’s success. They provide an overview of the literature considering currently available research findings, establish baselines for other research activities, and support decisions made throughout the research project. However, there is a shortage of research that presents systematic studies experiences in supporting academic projects. This paper’s main contribution is reporting our experience on how the evidence found in tertiary and secondary studies positively influenced a PhD project’s decisions. Initially, a tertiary study was conducted, followed by a systematic mapping. The evidence returned by the tertiary study led to the definition of the PhD research proposal in the Requirement Engineering field. Moreover, a systematic mapping contributed to the definition of the PhD research problem. From this experience in undertaking systematic studies to support a PhD project, the paper also presents lessons learned and recommendations to guide PhD students’ decisions.

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Section: From Systematic Studies To a Phd Research Projectmentioning

confidence: 99%

Using evidence from systematic studies to guide a PhD research in Requirements Engineering: an experience report

Kudo

Bulcão-Neto

Vincenzi

et al. 2022

JSERD

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“…We have strictly followed the guidelines proposed by Kitchenham and Charters, 23 Kitchenham et al, 22 Petersen et al, 24 and Petersen et al 25 to achieve an impartial review. These guidelines have been widely adopted in SLR, surveys, and SMS 41‐44 …”

Section: Planning and Conducting The Mappingmentioning

confidence: 99%

Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysis

et al. 2021

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Self‐adaptive service‐oriented Applications (Self‐Apps) must be able to understand themselves or the environment in which they are executed, and propose solutions to meet changing conditions. The development of these applications is not a trivial task, since it encompasses issues from different research areas. Despite the importance of frameworks for Self‐Apps, there is a lack of comprehensive analysis of how the design of such applications is performed, and regarding the standardization of concepts and coverage of minimum requirements for Self‐Apps. The main contribution of this article is to present this comprehensive analysis, providing the state of the art for this subject. This analysis was built through a Systematic Mapping Study, based on a total of 65 studies, from which we identify the main attributes for Quality of Service (QoS), search strategies, and service management strategies employed in the design of frameworks for Self‐Apps. The main aspects of requirements involved in the design of Self‐Apps were pointed out to stakeholders. For example, these applications must implement a method for evaluation of QoS based on metrics. We also put forward the S‐Frame, a modular solution that brings together the main features for the design of Self‐Apps, and describe the main challenges concerning these applications.

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“…The Table III Fig. 4: A detail view of the identification and selection processes of primary studies, adapted from [42]. shows the result of this process for each digital library.…”

Section: B Conductingmentioning

confidence: 99%

“…Importantly, criterion 4 was responsible for the largest number of excluded articles, followed by criterion 5, and criteria 2 and 7 were the least responsible. This is because, in most systematic studies, small rates of return often occur for studies relevant to the research topic studied [36], [42]. Compared to criteria 2 and 7, it is agreend that most publications are in the English language and unique versions.…”

Section: B Conductingmentioning

confidence: 99%

A Research Agenda on Pediatric Chest X-Ray: Is Deep Learning Still in Childhood?

Fonseca,

Vieira,

Soares

et al. 2020

Preprint

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Despite advances in the acquisition of medical imaging and computer-aided support techniques, x-rays due to their low cost, high availability and low radiation levels are still an important diagnostic procedure, constituting the most frequently performed radiographic examination in pediatric patients for disease investigation while researchers are looking for increasingly efficient techniques to support decision-making. Emerging in the last decade as a viable alternative, deep learning (DL), a technique inspired by neuroscientific and neural connections, has gained much attention from researchers and made significant advances in the field of medical imaging, outperformed the stateof-art of many techniques, including those applied to pediatric chest radiography (PCXR). Given the scenario and considering the fact that, as far as we know, there is still no mapping study on the application of deep learning techniques in PCXR images, we propose in this article a "deep radiography" of the last decade in this research topic and a preliminary research agenda that deals with the state of the art of applying DL on PCXR that constitute a collaborative tool for future researchers. Our goal is to identify primary studies and support the process of choosing and developing DL techniques applied to PCXR images, in addition to pointing out gaps and trends by drawing up a preliminary research agenda. A protocol is described in each phase detailing criteria used from selection to extraction and our set of selected studies is subjected to careful analysis to respond to the research form. Six basic sources were used and the synthesis, results, limitations, and conclusions are exposed.

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Requirement patterns: a tertiary study and a research agenda

Cited by 12 publications

References 22 publications

Using evidence from systematic studies to guide a PhD research in Requirements Engineering: an experience report

Using evidence from systematic studies to guide a PhD research in Requirements Engineering: an experience report

Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysis

A Research Agenda on Pediatric Chest X-Ray: Is Deep Learning Still in Childhood?

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