Software project scheduling problem in the context of search-based software engineering: A systematic review

Rezende, Allan Vinicius; Silva, Leila; Britto, Alceu S.; Amaral, Rodrigo Reis

doi:10.1016/j.jss.2019.05.024

Cited by 25 publications

(18 citation statements)

References 36 publications

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“…The proposed system which use this model can be described as: faster, cheaper, better, more flexible, and adaptive. 10 Our work consisted of five phases: requirements, design, implementation, testing and maintenance.…”

Section: Methodsmentioning

confidence: 99%

Cancer in Saudi Arabia (CSA): Web-Based Application to Study Cancer Data Among Saudis Using Waterfall Model

Alsagaby¹,

Alharbi²

2021

JMDH

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Background Information technology (IT) has emerged as a promising enabler to address the issue of big data in health care. Despite the urgent need for an IT-based tool to tackle this issue, one is not available to specifically study the massive data related to cancer among Saudis. Objective To develop a web-based application, which we named “Cancer in Saudi Arabia (CSA)” to provide an interactive, quick, and easy method to reach, extract, compare, and visualize cancer data from Saudi Cancer Incidence Reports (SCIRs). Methods We used waterfall model to develop CSA. Next, we used CSA to study the data of non-Hodgkin lymphoma (NHL) in Saudis reported in the SCIRs (1999–2015). Results CSA-based analysis showed that NHL incidence rate increased with age and the disease was more common among males compared with females. In addition, NHL was most predominant in the regions of Riyadh and Eastern, while it was the least prevalent in Jazan Region. Interestingly, the largest proportion of NHL patients was diagnosed in the late stage, and malignant lymphoma, large B-cell diffuse, OS (DLBCL) were the most frequent subtypes of NHL. Conclusion As a user-friendly application, we believe that CSA will be a useful tool for studying cancer data in Saudis and will make the data published in SCIRs more reachable and usable. Our findings of NHL provided an almost comprehensive view of the epidemiology of the disease in Saudis for 17 years.

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Section: Methodsmentioning

confidence: 99%

Cancer in Saudi Arabia (CSA): Web-Based Application to Study Cancer Data Among Saudis Using Waterfall Model

Alsagaby¹,

Alharbi²

2021

JMDH

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“…However, SEs when applied to software have their research concentrated in the Engineering area (Rezende, et-al., 2019). There are few studies that deal with the application of ESs in reducing subjectivity.…”

Section: Expert Systemsmentioning

confidence: 99%

Subjectivity reducing in software version criticality classification with the support of an expert system

Gatto

Sassi

2022

RSD

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In the software version release management process, there is a need, on the part of human specialists, to classify the criticality of each software version. However, the subjectivity of this classification may be present according to the experience acquired by specialists over the years. To reduce subjectivity in the process, an Artificial Intelligence technique called Expert System (ES) can be applied to represent the knowledge of human specialists and use it in problem solving. Thus, the aim of this paper was to reduce the subjectivity in the criticality classification of the software version with the support of the Expert System. To this end, a questionnaire was developed with the objective of obtaining the criticality opinions classified as High, Medium and Low in each specialist's software version to assist in the preparation of the ES production rules. ES generated 17 production rules with a 100% confidence level applied to a production database. The results of the classification carried out by the ES corresponded to the classification carried out by the specialists in the production base, that is, the ES was able to represent their knowledge. Then, another questionnaire was applied to the specialists to verify the perception of satisfaction regarding the use of the ES with a result obtained of 4.8, considered satisfactory. It was concluded, then, that the ES supported the reduction of subjectivity in the classification of the criticality of software version.

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“…Some other literature reviews focus on specific tasks, such as mining repositories using SBSE [21], test data generation [5,22], genetic improvement of software [23], software requirements management [8,24,25], re-engineering of legacy applications into SPL [26], software module clustering [27], software project scheduling [28], cloud migration [29], and test resource allocation [30]. Specific techniques are also target of SBSE surveys, such as multi-and many-objective optimisation [31][32][33], hyper-heuristics [34], and interactive algorithms [35,36].…”

Section: Related Workmentioning

confidence: 99%

The Symposium on Search-Based Software Engineering: Past, Present and Future

Colanzi

Assunção

Vergílio

et al. 2020

Information and Software Technology

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Context: Search-Based Software Engineering (SBSE) is the research field where Software Engineering (SE) problems are modelled as search problems to be solved by search-based techniques. The Symposium on Search Based Software Engineering (SSBSE) is the premier event on SBSE, which had its 11 th edition in 2019. Objective: In order to better understand the characteristics and evolution of papers published at SSBSE, this work reports results from a mapping study targeting the proceedings of all SSBSE editions. Despite the existing mapping studies on SBSE, our contribution in this work is to provide information to researchers and practitioners willing to enter the SBSE field, being a source of information to strengthen the symposium, guide new studies, and motivate new collaboration among research groups. Method: A systematic mapping study was conducted with a set of four research questions, in which 134 studies published in all editions of SSBSE, dated from 2009 to 2019, were evaluated. In a fifth question, 32 papers published in the challenge track were summarised. Results: Throughout the years, 290 authors from 25 countries have contributed to the main track of the symposium, with the collaboration of at least two institutions in 46.3% of the papers. SSBSE papers have got substantial external visibility, as most citations are from different venues. The SE tasks addressed by SSBSE are mostly related to software testing, software debugging, software design, and maintenance. Evolutionary algorithms are present in 75% of the papers, being the most common search technique. The evaluation of the SBSE approaches usually includes industrial systems. Conclusions: SSBSE has helped increase the popularity of SBSE in the SE research community and has played an important role on making SBSE mature. There are still problems and challenges to be addressed in the SBSE field, which can be tackled by SSBSE authors in further studies.

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Software project scheduling problem in the context of search-based software engineering: A systematic review

Cited by 25 publications

References 36 publications

Cancer in Saudi Arabia (CSA): Web-Based Application to Study Cancer Data Among Saudis Using Waterfall Model

Cancer in Saudi Arabia (CSA): Web-Based Application to Study Cancer Data Among Saudis Using Waterfall Model

Subjectivity reducing in software version criticality classification with the support of an expert system

The Symposium on Search-Based Software Engineering: Past, Present and Future

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