A systematic mapping study of software performance research

Domain-Specific Languages: A Systematic Mapping Study

In recent years, the capacity of big data analytics (BDA) has attracted the significant attention of researchers linked to academia and industry professionals. This capacity is related to the possibility of managing informations advanced to reach its supply chain. In other words, information technology uses integrated systems, which facilitates innovation and the diffusion of knowledge throughout this supply chain. However, researchers and professionals still need to explore the capacity potential of BDA, in order to improve supply chain operational decision-making skills. This work classifies the state-of-the-art literature that applied BDA to the supply chain management (SCM). A Systematic Mapping Study was elaborated based on literature guidelines. A total of 50 primary studies were selected through a filtering process from initially 5,437 studies. These primary studies were used to answer the six research questions. The result of the classification showed that 64% of the studies are related to supply-chain management; most of the studies carried out empirical research; and approximately 50% of the primary studies investigated models for optimization process. This research provides to academics and industry professionals the gaps and future challenges related to BDA for SCM.

Background: Interest in the integration of the agile software development process (ASDP) and user-centred design (UCD) has grown over the last decade. However, there are not many papers that study this issue holistically and uncover the current state of this integration. Aim: This study sets out to answer the following research question: What is the current state of integration between agile processes and usability? Method: We conduct a systematic mapping study (SMS). A SMS is a form of systematic literature review that aims to identify and classify the research papers published about a specified issue. Results: We retrieved a total of 161 primary studies, which we categorized according to four criteria: process, practice, team and technology integration. The largest group refers to process integration with a total of 76 primary studies. Judging by the increase in the number of publications over the last decade, the integration of human-computer interaction (HCI) activities and techniques into the ASDP is an issue of notable interest. Conclusions: There are very few papers that study the literature holistically and report the current state of usability in the ASDP. Additionally, there are no formalized proposals for adopting usability techniques in ASDP.

Software engineering principles: A systematic mapping study and a quantitative literature review

Business Process Reengineering needs to be carried out in line with technological developments and changes in the environment. The goal is to modify procedures, systems, structures, responsibilities, and skills. the need for technology and the importance of increasing the efficiency and competitiveness of the organization or company in the face of organizational change. This article aims to classify, identify scientific publications and conduct a thematic analysis of the current literature in order to create an extensive and detailed understanding of Business Process Reengineering. The research method used is a systematic mapping study (SMS) to examine scientific publications produced from time to time, focus, locus, the type of research that is most widely investigated, as well as the most widely used research method. The SMS procedure follows established empirical guidelines and mapping data relies on the Scopus electronic database. Based on the results of SMS on research in the field of rural banks, it is known that there are 40 studies that meet the inclusion criteria. We classified 40 articles in topic areas by category of paper type, method, focus, locus, and year of research publication. Then, categorized and quantified current studies are generated on various dimensions, a summary of topics, and current research trends.

Mobile apps with tested Graphical User Interface (GUI) tend to have higher downloads in the apps store. In recent years, few efforts were made to analyse the research community and research status of the literature for GUI testing on mobile apps, which brings an obstacle to characterise and understand this field. In this study, the authors propose a systematic mapping study to gain insights into the field. First, the authors conduct an extensive search of relevant literature over seven popular digital libraries. From 4427 candidate studies, 114 primary studies published between January 2011 and September 2022 were selected. Next, the authors analyse these primary studies from the perspectives of bibliometric and qualitative analysis. For the bibliometric analysis, first, the authors analyse the popular research topics and their relationships. Second, the authors study the authors' community. For the qualitative analysis, the authors analyse the objectives, approaches and evaluation metrics employed in these primary studies. Their investigation reports several major findings: (1) there are relatively more studies on two topics, that is, test case generation and the automated test; (2) the most productive authors tend to collaborate and often have relatively broad research interests; (3) the functionality is the main objective of GUI testing; the model‐based approach is the most widely used.

The state of research based on Essence is a Systematic Mapping Study. The Essence is a great revolution in the field of Software Engineering and gaining more popularity as it brings Researchers and Practitioners on common ground. The term Common Ground refers to the methods and practices which are common for both industry and academia. The purpose of this study is to find out what kind of research is being reported in the literature which involves Essence. Through our analysis of the study we find out the gaps and clusters using maps of Essence on SWEBOK, Research Methodologies, Lists of Areas Using Essence (Tags), Country Wise Category and, Kernel Elements using in different categories. This study will help out the researchers to get the overall view of work done in different Software Engineering areas Using Essence and which areas are still lacking. This research also helps us to find the existing problems which can be overcome in the future.

A key part of software evolution and maintenance is the continuous integration from collaborative efforts, often resulting in complex traceability challenges between software artifacts: features and modules remain scattered in the source code, and traceability links become harder to recover. In this paper, we perform a systematic mapping study dealing with recent research recovering these links through information retrieval, with a particular focus on natural language processing (NLP).Our search strategy gathered a total of 96 papers in focus of our study, covering a period from 2013 to 2021. We conducted trend analysis on NLP techniques and tools involved, and traceability efforts (applying NLP) across the software development life cycle (SDLC). Based on our study, we have identified the following key issues, barriers, and setbacks: syntax convention, configuration, translation, explainability, properties representation, tacit knowledge dependency, scalability, and data availability.Based on these, we consolidated the following open challenges: representation similarity across artifacts, the effectiveness of NLP for traceability, and achieving scalable, adaptive, and explainable models. To address these challenges, we recommend a holistic framework for NLP solutions to achieve effective traceability and efforts in achieving interoperability and explainability in NLP models for traceability.

Effective assessment of cyber risks in the increasingly dynamic threat landscape must be supported by artificial intelligence techniques due to their ability to dynamically scale and adapt. This article provides the state of the art of AI-supported security risk assessment approaches in terms of a systematic mapping study. The overall goal is to obtain an overview of security risk assessment approaches that use AI techniques to identify, estimate, and/or evaluate cyber risks. We carried out the systematic mapping study following standard processes and identified in total 33 relevant primary studies that we included in our mapping study. The results of our study show that on average, the number of papers about AI-supported security risk assessment has been increasing since 2010 with the growth rate of 133% between 2010 and 2020. The risk assessment approaches reported have mainly been used to assess cyber risks related to intrusion detection, malware detection, and industrial systems. The approaches focus mostly on identifying and/or estimating security risks, and primarily make use of Bayesian networks and neural networks as supporting AI methods/techniques.

Scientific breakthroughs in the field of the supply chain must keep pace with technological advancements and environmental changes. Modifying processes, systems, structures, roles, and skills is the goal. The relevance of staff training and the necessity for technology is currently a hot topic in managing changes in the concept of the supply chain in retail business. The purpose of this study is to classify and identify journal and conference articles and undertake analysis of the present paper to develop a deep comprehension of the supply chain in retail business. A systematic mapping study (SMS) examines scientific publications produced over time, focus, locus, and the most widely investigated type of research. It is also the most widely used research method. The SMS technique follows well-established empirical guidelines, and the mapping data is based on Scopus. According to SMS research findings on organizational change, 68 studies match the inclusion criteria. By paper type, method, focus, locus, and year of research publication, we divided 68 publications into topic groups. The current studies are then categorized and quantified based on multiple parameters, topic descriptions, and current research trends.

CERSE - Catalog for empirical research in software engineering: A Systematic mapping study

In todays world, software security has become essential for protecting the overall organizations operations. Mostly software development companies are adopting various strategies to build secure software to cope with the challenges of the client organization. Information become threatened due to connection with the cyber world, and it requires better security mechanisms. Software development organizations are receiving pressure from their clients to focus on the enhancement of security during the whole software development life cycle (SDLC). This protocol aims to review the literature in a systematic way to identify the state-of-the-art of software security to be considered by Global Software Development (GSD) vendor organizations during the development of a secure software as it evolves from requirements engineering to its final disposal. In order to improve security processes in the context of software development, our current research developed a Systematic Mapping Study (SMS) protocol. Presently, we are in the implementation phase of the protocol for the development of secure software. The expected outcomes of this SMS will be a list of security measurements and their solutions to be incorporated by GSD vendor organizations in each phase of the SDLC. This will also give a direction for new research in this area.

Open innovation (OI) means that innovation is fostered by using both external and internal influences in the innovation process. In software engineering (SE), OI has existed for decades, while we currently see a faster and broader move towards OI in SE. We therefore survey research on how OI takes place and contributes to innovation in SE. This study aims to synthesize the research knowledge on OI in the SE domain. We launched a systematic mapping study and conducted a thematic analysis of the results. Moreover, we analyzed the strength of the evidence in the light of a rigor and relevance assessment of the research. We identified 33 publications, divided into 9 themes related to OI. 17/33 studies fall in the high–rigor/high–relevance category, suggesting the results are highly industry relevant. The research indicates that start-ups have higher tendency to opt for OI compared to incumbents. The evidence also suggests that firms assimilating knowledge into their internal R&D activities, have higher likelihood of gaining financial advantages. We concluded that OI should be adopted as a complementary approach to facilitate internal innovation and not to substitute it. Further research is advised on situated OI strategies and the interplay between OI and agile practices.

Collaborative configuration approaches in software product lines engineering: A systematic mapping study

Information visualization for emergency management: A systematic mapping study