scholarly journals Tools Integration for Supporting Software Measurement: A Systematic Literature Review

2015 ◽  
Vol 8 (4) ◽  
pp. 80-108
Author(s):  
Vinícius Soares Fonseca ◽  
Monalessa Perini Barcellos ◽  
Ricardo De Almeida Falbo
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Quality Improvement ◽  
Project Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Process Quality ◽  
Tool Support ◽  
Tool Integration ◽  
Software Measurement

Software measurement (SM) is a key area to support process quality improvement and project management. Due to the nature of the measurement activities, tool support is essential. Tools can be combined to support the SM process and provide necessary information for decision making. However, tools are usually developed without concern for integration. As a result, organizations have to deal with integration issues to enable communication between tools. Aiming at investigating studies in the literature that report initiatives involving tool integration for supporting SM, we performed a systematic literature review. Twelve initiatives were found. This paper presents the results of the systematic review and discusses the main findings.

Reducing uncertainties in innovation projects through intra-organisational collaboration: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rola Imad Fanousse ◽  
Dilupa Nakandala ◽  
Yi-Chen Lan
Keyword(s):  
Systematic Review ◽  
Project Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Project Performance ◽  
Organisational Learning ◽  
Content Type ◽  
Innovation Projects ◽  
Innovation Project ◽  
The Impact

PurposeThis article provides the first systematic review of literature on effective organisational practices for reducing innovation project uncertainties to promote project performance. Innovation is the lifeblood of organisations, while simultaneously being one of the most challenging processes to manage. This systematic review seeks to examine best practice for reducing uncertainties and thus mitigate the high failure rates in innovation projects.Design/methodology/approachThis paper provides a systematic review of the literature on innovation project management and encourages an understanding of how intra-organisational collaboration reduces uncertainty and thus increases project performance.FindingsBased on an analysis of the systematic literature review findings, the impact of intra-organisational collaboration in reducing uncertainties in innovation projects is uncovered. Three types of project uncertainties were found to be dominant in the context of innovation project management: task, technological and market uncertainties. Five dimensions of intra-organisational collaboration are also identified, namely collaborative relationship, collaborative leadership, communicating and sharing information, trust formation and joint decision-making.Originality/valueThe authors situate five intra-organisational collaboration dimensions as key mechanisms that yield organisational learning as an outcome. On the other hand, they also uncovered that organisational learning is a key enabler in the relationship between intra-organisational collaboration and task, market and technological uncertainties reduction. Therefore, intra-organisational collaboration is identified as a critical practice in enhancing the performance of innovation projects. The study proposes a multi-dimensional conceptual model, providing a mechanism for furthering a research agenda for improving the performance of innovation projects.

scholarly journals Decision-making in Software Project Management: A Systematic Literature Review

2016 ◽  
Vol 100 ◽  
pp. 947-954 ◽  
Author(s):  
José Adson O.G. Cunha ◽  
Hermano P. Moura ◽  
Francisco J.S. Vasconcellos
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Software Project ◽  
Software Project Management

The rise of participatory despotism: a systematic review of online platforms for political engagement

2019 ◽  
Vol 17 (4) ◽  
pp. 422-437
Author(s):  
Rose Marie Santini ◽  
Hanna Carvalho
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Literature Review ◽  
Political Participation ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
Content Type ◽  
Online Platforms ◽  
Administrative Change ◽  
The Impact

Purpose The purpose of this paper is to present a systematic literature review of empirical studies into online platforms for political participation. The objective was to diagnose the relationship between different types of digital participatory platforms, the real possibilities of participation generated by those initiatives and the impact of such participation on the decision-making process of governmental representatives. Design/methodology/approach A systematic literature review was conducted using pre-defined terms, expressions and criteria. A total of 434 articles from 1995 to 2015 were gathered from the Web of Science database. And, 32 studies were selected from those articles for meta-synthesis, and the cases investigated were evaluated according to the e-participation ladder model (Smyth, 2001). Findings The results indicated that online political participation worldwide remains timid both in quantity and quality. We have witnessed the growth of a kind of “rhetorical participation” promoted by policy-makers and the rise of a “participatory despotism”, in which only the privileged partake, while the majority remains silent. Practical implications The solutions found to promote increased participation and ensure its effectiveness ranged from shaping the platform design in accordance with citizens’ capacities and interests to a need for profound political–administrative change, which includes the world’s public agencies adopting a more transparent, inclusive and collaborative approach to decision-making. Originality/value This paper proposes a systematic review, mapping the studies on online platforms for political participation, analysing the questions, methods and conclusions found by the authors and evaluating each case study with a participation ladder.

scholarly journals Integrating Tools to Support Software Measurement

2016 ◽  
Author(s):  
Vinícius Soares Fonseca ◽  
Monalessa Perini Barcellos ◽  
Ricardo De Almeida Falbo
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Software Development ◽  
Process Improvement ◽  
Measurement Process ◽  
Tool Integration ◽  
Software Measurement ◽  
Development Organization ◽  
Measurement Systems ◽  
Support Software

Software measurement is a key practice to process improvement and project management. Given the nature of measurement activities, supporting tools are essential. Different tools can be combined to support the measurement process and provide necessary information for decision making. However, these tools are usually developed by different developers, at different points in time and without concern for integration. As a result, organizations have to deal with integration issues to allow tools communication and properly support the measurement process. In this paper we present a tool integration initiative performed following the Ontology-Based Approach for Measurement Systems Integration (OBA-MSI) aiming to support the measurement process in a software development organization. The integration involved three tools: Taiga, SonarQube and SoMeSPC.

scholarly journals Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Real World ◽  
Learning Algorithms ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Learning Methods ◽  
Machine Learning Methods

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

ENTREPRENEURSHIP EDUCATION: A SYSTEMATIC REVIEW OF THE METHODS IN IMPACT STUDIES

2013 ◽  
Vol 21 (02) ◽  
pp. 123-151 ◽  
Author(s):  
MICHAEL LORZ ◽  
SUSAN MUELLER ◽  
THIERRY VOLERY
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Research Methods ◽  
Systematic Literature Review ◽  
Positive Impact ◽  
Reliability And Validity ◽  
Entrepreneurship Education ◽  
Impact Studies ◽  
Entrepreneurial Attitudes ◽  
The Impact

The majority of studies that analyze the impact of entrepreneurship education on entrepreneurial attitudes, intentions, and venture activities report positive influences. However, several scholars have recently cast doubts about research methods and the generalizability of entrepreneurship education impact studies. In this study, we conducted a systematic literature review of the methods used in entrepreneurship education impact studies. Our results uncover significant methodological deficiencies and question the overwhelmingly positive impact of entrepreneurship education. Based on this evidence, we propose a series of recommendations to improve the reliability and validity of entrepreneurship education impact studies and we outline promising topics which are currently under-researched.

Surgical treatment of rectovaginal fistulas (systematic literature review)

2021 ◽  
pp. 30-48
Author(s):  
Andrei Anatolevich Mudrov ◽  
Aleksandr Yur’evich Titov ◽  
Mariyam Magomedovna Omarova ◽  
Sergei Alekseevich Frolov ◽  
Ivan Vasilevich Kostarev ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Meta Analysis ◽  
High Recurrence Rate ◽  
Surgical Interventions ◽  
Rectovaginal Fistulas ◽  
Surgical Treatments

Despite the large number of available surgical interventions aimed at the treatment of rectovaginal fistulas, the results of their use remain extremely disappointing, associated with the high recurrence rate of the disease reaching 80 %, as well as the lack of a single tactic to minimize the risk of anal incontinence and the need for colostomy. Objective: to conduct a systematic literature review in order to summarize information related to the rectovaginal fistulas surgery. The systematic review includes the results of an analysis of 97 clinical trials selected from 756 publications found in databases. Inclusion criteria: a full-text article, the presence of at least 5 patients in the study, as well as data on the outcome of surgery. Clinical trials with different surgical treatments were identified and classified into the following categories: elimination of the rectovaginal septal defect with a displaced flap (rectal and vaginal); Martius surgery; gracilis muscle transposition; transperineal procedure; abdominal procedure including endoscopic and laparoscopic methods; use of biological or biocompatible materials. Treatment outcomes vary significantly from 0 % to > 80 %. None of the studies were randomized. Due to the low quality of the identified studies, comparison of results and meta-analysis conduction were not possible. Conclusion: as a result of the systematic review, data for the analysis and development of any strategic and tactical algorithms for the treatment of RVF were not obtained. The most important questions still remain open: what and when surgical method to choose, is it necessary to form a disconnecting stoma?

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