A systematic process for Mining Software Repositories: Results from a systematic literature review

Vidoni, Melina

doi:10.1016/j.infsof.2021.106791

Cited by 19 publications

(16 citation statements)

References 128 publications

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“…Most of this study will be based on research questions from mapping studies. We address our studies in the form of a qualitative synthesis comparable to what Vidoni [27] described in the literature…”

Section: A Resultsmentioning

confidence: 99%

“…According to Chong, Lin, and Chen [26], the research questions in mapping studies tend to be larger than those in standard Study Literature Review (SLR) to cover a broader area of study appropriately. A further point made by Vidoni [27] is that mapping studies are likely to result in an extremely high number of investigations, giving a far broader scope than SLR results. For mapping out the characteristics of the DSS field in fisheries industries, four research questions (RQ) were created as follows:…”

Section: Methodsmentioning

confidence: 99%

“…Search phrases in fisheries industries DSS were used to locate relevant publications in line with our review procedure, followed by the letter. Vidoni provided us with a technique for generating query strings, which we used in our review protocol [27]. The search keywords were chosen through a trial-and-error process from a pool of possibilities filled with derived terms generated from the study problem.…”

Section: A Research Protocolmentioning

confidence: 99%

See 2 more Smart Citations

Decision Support System in Fisheries Industry: Current State and Future Agenda

Panudju¹,

Rahardja²,

Nurilmala³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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Decision Support Systems (DSS) are systems that assist decision-makers and aim to synthesize domain and technical knowledge and package it so non-scientists can use and comprehend it. This study aims to compile initial empirical studies that can objectively reject or confirm the central hypothesis. The materials were retrieved after applying the filtered query across all sources. All search engine providers use five query strings. In each example, five findings were collected, sorted, and compared to one another, and 152 papers were generated. Seventy-six documents were discovered after applying the inclusion and exclusion criteria. Each of the 70 papers was independently examined and analyzed. The method of study followed a specific procedure explicitly developed to minimize the risk of researcher bias. It is primarily concerned with whether fisheries have decision-making systems and what empirical outcomes these systems produce, particularly in real-time analysis. The result shows a dearth of research on intelligent DSS, which accounts for less than 3% of all DSS types discussed in the article. This study offers academics and professionals an overview of the implementation of DSS. These new contributions imply the form of several different new contributions to further research. Furthermore, the possibility of identifying research gaps increases once merged with geoinformation technology or spatial information. We introduced a new model that combines spatial logistics techniques with GIS-based tracing and tracking. The envisioned logistics ensure spatial and logistical traceability in the process of fish products.

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Section: A Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: A Research Protocolmentioning

confidence: 99%

See 1 more Smart Citation

Decision Support System in Fisheries Industry: Current State and Future Agenda

Panudju¹,

Rahardja²,

Nurilmala³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

show abstract

“…We will take into account ethical aspects for this type of study, as discussed in the work of Gold and Krinke [Gold and Krinke 2022]. Finally, we will inspire our process on the lessons learned, and the method proposed in the results by Barros et al [Barros et al 2021] and Vidoni [Vidoni 2022], respectively.…”

Section: Methodsmentioning

confidence: 99%

On the Continuous Delivery in IoT Systems

Pereira

2022

Anais Do XXV Congresso Ibero-Americano Em Engenharia De Software (CIbSE 2022)

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The development of IoT systems brings the adequacy of software engineering to current paradigms, such as IoT, industry 4.0, smart cities and environments, and wearable devices. IoT systems require the integration of different technologies such as sensors, actuators, edge devices, cloud computing, big data, artificial intelligence, and IT operations. The successful delivery of products depends directly on the continuous cooperation of professionals with different skills. However, we noticed a specific resistance in carrying out continuous and automated software deliveries to hardware devices by professionals. This research investigates the practices and technologies for the continuous software delivery pipeline on hardware devices that make up an IoT system.

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“…Recently, researchers have used supervised (deep & machine learning) and unsupervised learning (topic Modelling) techniques to analyze a wide range of software development-related issues encountered by developers on Q&A websites [11]. These studies have proposed automated methods to extract developers' discussion posts on various topics, such as challenges in continuous software engineering [12], identifying challenges in Docker development [13], security vulnerability [14], software bug detection [15], developers' communications and their implications [16], non-functional requirements [17], design patterns [18], and software maintenance and evolution [19].…”

Section: Introductionmentioning

confidence: 99%

Software development process evolution and paradigm shift - a case study of Malaysian companies

Khan

Akbar

2022

murjet

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Due to the consequences of global software development (GSD), the traditional approaches of software development evolved into lightweight agile methods. The agile methods got overwhelming response from software development companies due to their obvious support to GSD. In this regard, limited research work has been presented on software process evolution and process paradigm shift in context of GSD. Most of the work presented on GSD mainly focus on the companies in Europe, America, Australia and other western countries. Existing research work highlight the standard benefits and challenges of GSD but do not investigate its effect on software development processes and associated reasons causing the affect particularly in Malaysian software development companies. The research work presented in this paper addresses this issue and investigates the effects of GSD on software processes, software process evolution and paradigm shift and finds the current software processes being used in Malaysian companies. Also, it further determines the GSD factors and reasons behind the change and selection of a software development process. GSD factors affecting the software processes have been termed as challenges. Structured interviews have been conducted to collect qualitative data from industry professionals involved in GSD. General inductive approach has been used for qualitative data analysis and findings. The results show that after GSD, Malaysian companies are mostly following agile methods. The traditional and ad-hoc approaches used before GSD have been replaced by the lightweight agile methodologies. Few of the companies are still following ad-hoc approaches mainly due to size of the project and company as most of the Malaysian companies are small and medium size. The research is significant that it provides clear insight into software process paradigm in Malaysian companies. The outcome of the research provides foundations for the standardization of software processes, process improvement, selection and quality enhancement approaches in Malaysian companies.

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A systematic process for Mining Software Repositories: Results from a systematic literature review

Cited by 19 publications

References 128 publications

Decision Support System in Fisheries Industry: Current State and Future Agenda

Decision Support System in Fisheries Industry: Current State and Future Agenda

On the Continuous Delivery in IoT Systems

Software development process evolution and paradigm shift - a case study of Malaysian companies

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