Zobrazeno 1 - 10
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pro vyhledávání: '"Capretz, Luiz Fernando"'
Software defect prediction models can assist software testing initiatives by prioritizing testing error-prone modules. In recent years, in addition to the traditional defect prediction model approach of predicting defects from class, modules, etc., J
Externí odkaz:
http://arxiv.org/abs/2411.05230
Publikováno v:
35th Annual Workshop - Psychology of Programming Interest Group (PPIG), September 2024
This paper discusses further evaluations of the educational effectiveness of an existing CPU visual simulator (CPUVSIM). The CPUVSIM, as an Open Educational Resource, has been iteratively improved over a number of years following an Open Pedagogy app
Externí odkaz:
http://arxiv.org/abs/2411.05229
Autor:
Capretz, Luiz Fernando
For a long time, it has been recognized that the software industry has a demand for students who are well grounded in design competencies and who are ready to contribute to a project with little additional training. In response to the industry needs,
Externí odkaz:
http://arxiv.org/abs/2408.03509
Autor:
Mamman, Hussaini, Basri, Shuib, Balogun, Abdullateef, Imam, Abubakar Abdullahi, Kumar, Ganesh, Capretz, Luiz Fernando
Publikováno v:
13th Computer Science On-line Conference, Lecture Notes on Networks and Systems, Springer, 13 pages, April 2024
The widespread adoption of ML systems across critical domains like hiring, finance, and healthcare raises growing concerns about their potential for discriminatory decision-making based on protected attributes. While efforts to ensure fairness during
Externí odkaz:
http://arxiv.org/abs/2406.17906
Autor:
Bashir, Aminat, Balogun, Abdullateef, Adigun, Matthew, Ajagbe, Sunday, Capretz, Luiz Fernando, Awotunde, Joseph, Mojeed, Hammed
Publikováno v:
13th Computer Science On-line Conference, Lecture Notes on Networks and Systems, Springer, 18 pages, April 2024
The process of software defect prediction (SDP) involves predicting which software system modules or components pose the highest risk of being defective. The projections and discernments derived from SDP can then assist the software development team
Externí odkaz:
http://arxiv.org/abs/2406.17120
Publikováno v:
17th IEEE International Conference of Software Testing, Verification and Validation Workshops (ICSTW-2024)
Formal software testing education is important for building efficient QA professionals. Various aspects of quality assurance approaches are usually covered in courses for training software testing students. Automated Test Tools is one of the core cou
Externí odkaz:
http://arxiv.org/abs/2405.21055
Autor:
Krishnan, Prajindra Sankar, Chen, Chai Phing, Alkawsi, Gamal, Tiong, Sieh Kiong, Capretz, Luiz Fernando
Publikováno v:
Latin American Workshop on Data Fusion (LAFUSION 2023), November/2023, pp 1-8, Rio de Janeiro, Brazil
The COVID-19 pandemic and the implementation of social distancing policies have rapidly changed people's visiting patterns, as reflected in mobility data that tracks mobility traffic using location trackers on cell phones. However, the frequency and
Externí odkaz:
http://arxiv.org/abs/2405.07870
Software and information technologies are becoming increasingly integrated and pervasive in human society and range from automated decision making and social media and entertainment, to running critical social and physical infrastructures like govern
Externí odkaz:
http://arxiv.org/abs/2312.03924
Publikováno v:
IEEE Software, Volume 40, Issue 5, pp. 76-84. September/October 2023
Testing is an indispensable part of software development. However, a career in software testing is reported to be unpopular among students in computer science and related areas. This can potentially create a shortage of testers in the software indust
Externí odkaz:
http://arxiv.org/abs/2311.06201
Autor:
Kumar, Ganesh, Basri, Shuib, Imam, Abdullahi Abubakar, Balogun, Abdullateef Oluwaqbemiga, Mamman, Hussaini, Capretz, Luiz Fernando
Publikováno v:
International Journal of Advanced Science and Applications, Volume 14, Issue 10, pp. 754-763, 2023
With the advent of technology and use of latest devices, they produces voluminous data. Out of it, 80% of the data are unstructured and remaining 20% are structured and semi-structured. The produced data are in heterogeneous format and without follow
Externí odkaz:
http://arxiv.org/abs/2311.06183