6 research outputs found

    Automatic Classification of Equivalent Mutants in Mutation Testing of Android Applications

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    Software and symmetric testing methodologies are primarily used in detecting software defects, but these testing methodologies need to be optimized to mitigate the wasting of resources. As mobile applications are becoming more prevalent in recent times, the need to have mobile applications that satisfy software quality through testing cannot be overemphasized. Testing suites and software quality assurance techniques have also become prevalent, which underscores the need to evaluate the efficacy of these tools in the testing of the applications. Mutation testing is one such technique, which is the process of injecting small changes into the software under test (SUT), thereby creating mutants. These mutants are then tested using mutation testing techniques alongside the SUT to determine the effectiveness of test suites through mutation scoring. Although mutation testing is effective, the cost of implementing it, due to the problem of equivalent mutants, is very high. Many research works gave varying solutions to this problem, but none used a standardized dataset. In this research work, we employed a standard mutant dataset tool called MutantBench to generate our data. Subsequently, an Abstract Syntax Tree (AST) was used in conjunction with a tree-based convolutional neural network (TBCNN) as our deep learning model to automate the classification of the equivalent mutants to reduce the cost of mutation testing in software testing of android applications. The result shows that the proposed model produces a good accuracy rate of 94%, as well as other performance metrics such as recall (96%), precision (89%), F1-score (92%), and Matthew’s correlation coefficients (88%) with fewer False Negatives and False Positives during testing, which is significant as it implies that there is a decrease in the risk of misclassification.publishedVersio

    Assessing Oral Health Knowledge and Practices: A Study of Mothers and Children in Northwestern Nigeria

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    Purpose – To explore the knowledge, attitude, and practices regarding oral and dental health for mothers of children aged 6 months to 8 years and older children aged above 8 years to 15 years seeking healthcare in a tertiary health facility in the Sokoto metropolis. Design/methods/approach – A cross-sectional study was conducted between February and April 2022. Subjects included mothers of 6 months to < 8 years and children aged 8 to 15 years presenting with minor illnesses to the General outpatient clinic. A structured questionnaire and focus group discussion guide were used to collect the information. Data was analyzed using IBM SPSS version 25. Findings – Out of 238 participants, 128 children were 6 months to <8 years, while 110 were above 8 to 15 years old. Less than half of mothers, 46.9%, had inadequate knowledge, while 20.3% had adequate practices. Among the older children in this study, the proportion of those with good knowledge, attitude, and practice level of oral health was 60%, 61.8%, and 32.7%. There was a significant moderate positive correlation between knowledge and attitude scores but not practice for the 2 groups. Mothers’ education and fathers’ occupation were significantly related to good scores (p=<0.05). Mothers of children with primary teeth and older children with permanent teeth in this study all had poor oral and dental health practices. More awareness programs should be conducted in the community to target those with poor practices. Increasing female education and empowerment is also essential in this regard. Research implications/limitations – This research implies that from an early age, it is necessary to check oral and dental health to prevent infectious diseases. Originality/value – Oral and dental health is an essential aspect of primary health care and is a situation in which the mouth, teeth, and gums are healthy and free from any diseases. Parents, especially mothers, are responsible for maintaining good oral hygiene practices and inculcating good oral hygiene habits in children. Paper Type Research paper

    A Robust Algorithm for Deadline Constrained Scheduling in IaaS Cloud Environment

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    Primary prevention of stroke in children with sickle cell anemia in Nigeria: Protocol for a mixed methods implementation study in a community hospital

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    BACKGROUND: In Nigeria, approximately 150,000 children with sickle cell anemia (SCA) are born annually, accounting for more than half of all SCA births worldwide. Without intervention, about 11% of children with SCA will develop a stroke before their 20th birthday. Evidence-based practices for primary stroke prevention include screening for abnormal transcranial Doppler (TCD) measurements coupled with regular blood transfusion therapy for at least one year, followed by hydroxyurea (HU) therapy indefinitely. In high-resource countries, this strategy contributes to a 92% decrease in stroke incidence rates. In 2016, as part of a capacity building objective of the Stroke Prevention Trial in Nigeria (1R01NS094041: SPRING), TCD screening was adopted as standard care at Barau Dikko Teaching Hospital in Kaduna. However, with just 70 radiologists and only 3 certified in TCD screening in the state, just 5.49% (1101/20,040) of eligible children with SCA were screened. Thus, there is a need to explore alternate implementation strategies to ensure children with SCA receive standard care TCD screening to decrease stroke incidence. OBJECTIVE: This protocol describes a study to create a stroke prevention program in a community hospital in Kaduna through task shifting TCD screening to nurses and training medical officers to initiate and monitor HU utilization for stroke prevention. METHODS: This study will be conducted at 2 sites (teaching hospital and community hospital) over a period of 3 years (November 2020 to November 2023), in 3 phases using both quasi-experimental and effectiveness-implementation study designs. In the needs assessment phase, focus groups and structured interviews will be conducted with health care providers and hospital administrators to identify barriers and facilitators to evidence-based stroke prevention practices. Results from the needs assessment will inform intervention strategies and a process plan to fit the needs of the community hospital. In the capacity building phase, nurses and medical officers at the community hospital will be trained on TCD screening and HU initiation and monitoring. In the implementation phase, children with SCA aged 2-16 years will be recruited into a nonrandomized single-arm prospective trial to determine the feasibility of initiating a task-shifted stroke prevention program by recording recruitment, retention, and adherence rates. The Reach and Effectiveness components of the RE-AIM (Reach, Effectiveness, Adoption, Implementation and Maintenance) framework will be used to evaluate implementation outcomes between the community and teaching hospitals. RESULTS: The needs assessment phase of the study was completed in February 2021. Manuscript on findings is currently in preparation. Capacity building is ongoing with TCD training and sickle cell disease and stroke education sessions for nurses and doctors in the community hospital. Recruitment for the implementation trial is expected to commence in July 2022. CONCLUSIONS: This study proposes a structured, theory-driven approach to create a stroke prevention program in a community hospital in Kaduna, Nigeria, to decrease stroke incidence among children with SCA. Results will provide preliminary data for a definitive randomized clinical trial in implementation science. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/37927
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