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An Ontology Based Test Case Prioritization Approach in Regression Testing

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Computers, Materials & Continua 2021年第4期67卷 1051-1068页

作者： muhammad Hasnain Seung Ryul Jeong muhammad fermi pasha Imran Ghani Monash University Petaling Jaya46150Malaysia Kookmin University Seoul136Korea Indiana University of Pennsylvania PA15705USA

Regression testing is a widely studied research area,with the aim of meeting the quality challenges of software *** achieve a software system of good quality,we face high consumption of resources during *** overcome this challenge,test case prioritization(TCP)as a sub-type of regression testing is continuously investigated to achieve the testing *** study provides an insight into proposing the ontology-based TCP(OTCP)approach,aimed at reducing the consumption of resources for the quality improvement and maintenance of software *** proposed approach uses software metrics to examine the behavior of classes of software *** uses Binary Logistic Regression(BLR)and AdaBoostM1 classifiers to verify correct predictions of the faulty and non-faulty classes of software *** ontology is used to match the code metrics and class *** investigated five Java programs for the evaluation of the proposed approach,which was used to achieve code *** study has resulted in an average percentage of fault detected(APFD)value of 94.80%,which is higher when compared to other TCP *** future works,large sized programs in different languages can be used to evaluate the scalability of the proposed OTCP approach.

关键词： Software code metric machine learning faults detection testing

Combined measures to control the COVID-19 pandemic in Wuhan, Hubei, China: A narrative review

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Journal of Biosafety and Biosecurity 2020年第2期2卷 51-57页

作者： muhammad Hasnain muhammad fermi pasha Imran Ghani School of Information Technology Malaysia Monash UniversityMalaysia Faculty at School of IT Malaysia Monash UniversityMalaysia Department of Mathematics and Computer Sciences Indiana University of PennsylvaniaIndianaPA 15705USA

Coronavirus disease 2019(COVID-19)is an emerging disease caused by the coronavirus,SARS-CoV-2,which leads to severe respiratory infections in ***-19 was first reported in December 2019 in Wuhan city,a populated area of the Hubei province in *** of now,Wuhan and other cities nearby have become safe places for *** rapid control of the spread of COVID-19 infection was made possible due to several interventions and measures that were undertaken in *** narrative review study was designed to evaluate the emerging literature on the combined measures taken to control the COVID-19 pandemic in Wuhan *** Direct,Springer,Web of Science,and the PubMed data repositories were searched for studies published between December 1,2019,and June 07,*** referred“preferred reporting items for systematic reviews and meta-analyses”(PRISMA)protocol was used to conduct this narrative review.A total of 330 research studies were found as a result of the initial search based on exclusion and inclusion criteria,and 30 articles were chosen on final *** was discovered that the combined measures to control the spread of COVID-19 in Wuhan included cordon sanitaire,social distancing,universal symptom surveys,quarantine strategies,and transport *** on the recommendations presented in this review study,existing policies with regard to combined measures and public health policies can be enforced by other countries to implement a rapid control procedure to control the spread of the COVID-19 pandemic.

关键词： COVID-19 Combined measures Lockdown Public health Review Implications

Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes

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Computers, Materials & Continua 2023年第1期74卷 783-799页

作者： muhammad Hasnain Imran Ghani Seung Ryul Jeong muhammad fermi pasha Sardar Usman Anjum Abbas Lahore Leads University Lahore42000Pakistan Computer and Information Sciences Virginia Military InstituteLexingtonVA24450USA Graduate School of Business IT Kookmin UniversitySeoul136Korea School of Information Technology Monash UniversityBandar Sunway47500Malaysia Department of Computer Science and Software Engineering Grand Asian University Sialkot51040Pakistan Government Sarwar Shaheed Associate College Gujjar KhanRawalpindi46000Pakistan

Forecasting on success or failure of software has become an interesting and,in fact,an essential task in the software development *** order to explore the latest data on successes and failures,this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework?What human factors contribute to success or failure of a software?What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work?In order to conduct this empirical analysis a total of 104 practitioners were recruited to determine how human factors,misinterpretation,and miscommunication of requirements and decision-making processes play their roles in software success *** discussed a potential relationship between forecasting of software success or failure and the development *** noticed that experienced participants had more confidence in their practices and responded to the questionnaire in this empirical study,and they were more likely to rate software success forecasting linking to the development *** analysis also shows that cognitive bias is the central human factor that negatively affects forecasting of software success *** results of this empirical study also validated that requirements’misinterpretation and miscommunication were themain causes behind software systems’*** has been seen that reliable,relevant,and trustworthy sources of information help in decision-making to predict software systems’success in the software *** empirical study highlights a need for other software practitioners to avoid such bias while working on software *** investigation can be performed to identify the other human factors that may impact software systems’success.

关键词： Cognitive bias misinterpretation of requirements miscommunication software success and failure prediction decision making

User Behavior Traffic Analysis Using a Simplified Memory-Prediction Framework

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Computers, Materials & Continua 2022年第2期70卷 2679-2698页

作者： Rahmat Budiarto Ahmad A.Alqarni Mohammed YAlzahrani muhammad fermi pasha Mohamed FazilMohamed Firdhous Deris Stiawan College of Computer Science&IT Albaha UniversityAlaqiq65779-7738Saudi Arabia Malaysia School of Information Technology Monash UniversityBandar Sunway47500Malaysia Department of Information Technology University of MoratuwaMoratuwa10400Sri Lanka Faculty of Computer Science Universitas SriwijayaIndralaya30662Indonesia

As nearly half of the incidents in enterprise security have been triggered by insiders,it is important to deploy a more intelligent defense system to assist enterprises in pinpointing and resolving the incidents caused by insiders or malicious software(malware)in *** to do so may cause a serious loss of reputation as well as *** the same time,modern network traffic has dynamic patterns,high complexity,and large volumes that make it more difficult to detect malware *** ability to learn tasks sequentially is crucial to the development of artificial *** neurogenetic computation models with deep-learning techniques are able to detect complex patterns;however,the models have limitations,including catastrophic forgetfulness,and require intensive computational *** defense systems using deep-learning models require more time to learn new traffic patterns,they cannot perform fully online(on-the-fly)***,an intelligent attack/malware detection system with on-the-fly learning capability is *** this paper,a memory-prediction framework was adopted,and a simplified single cell assembled sequential hierarchical memory(***)model instead of the hierarchical temporal memory(HTM)model is proposed to speed up learning convergence to achieve onthe-fly *** *** consists of a Single Neuronal Cell(SNC)model and a simplified Sequential Hierarchical Superset(SHS)*** *** implemented as the prediction engine of a user behavior analysis tool to detect insider attacks/*** experimental results show that the proposed memory model can predict users’traffic behavior with accuracy level ranging from 72%to 83%while performing on-the-fly learning.

关键词： Machine learning memory prediction framework insider attacks user behavior analytics

An Efficient Blockchain-Based Healthcare System Using Artificial Intelligence

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Computers, Materials & Continua 2022年第5期71卷 2721-2738页

作者： Aitizaz Ali muhammad fermi pasha Ong Huey Fang Jehad Ali Mohammed A.Al.Zain Mehedi Masud Department of Software Systems and Cyber-Security School of ITMonash University47500Subang JayaMalaysia Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499Korea Department of Information Technology College of Computers and Information TechnologyTaif University11099Taif21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif University11099Taif21944Saudi Arabia

Personal health records and electronic health records are considered as the most sensitive information in the healthcare *** solutions have been provided for implementing the digital health system using blockchain,but there are several challenges,such as secure access control and privacy is one of the prominent ***,we propose a novel framework and implemented an attribute-based access control system using ***,we have also integrated artificial intelligence(AI)based approach to identify the behavior and activity for security *** current methods only focus on the related clinical records received from a medical ***,existing methods are too inflexible to resourcefully sustenance metadata changes.A secure patient data access framework is proposed in this research,integrating blockchain,trust chain,and blockchain methods to overcome these problems in the literature for sharing and accessing digital healthcare *** have used a neural network and classifier to categorize the user access to our proposed *** proposed scheme provides an intelligent and secure blockchain-based access control system in the digital healthcare *** results surpass the existing solutions by collecting attributes such as the number of transactions,number of nodes,transaction delay,block creation,and signature verification time.

关键词： Personal health records blockchain technology artificial intelligence access control attributes health care system

Roasted fox nuts (Euryale Ferox L.) contain higher concentration of phenolics, flavonoids, minerals and antioxidants, and exhibit lower Glycemic Index (GI) in human subjects

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Food Production, Processing and Nutrition 2022年第1期4卷 1-12页

作者： Marrium Liaquat Imran pasha muhammad Ahsin Abdullah Salik National Institute of Food Science and Technology Faculty of FoodNutrition and Home SciencesUniversity of AgricultureFaisalabad38000Pakistan

Fox nut (Euryale ferox) is categorized among superior quality foods because of its highly nutritious profile. It also serves as a good protein source for vegetarian diets. However, it is not widely consumed, due to soggy texture and bland flavor as compared to other nuts. In this study, we used roasting and seasoning to enhance its consumer acceptance. Furthermore, we have also compared biochemical, nutritional and physical properties of the roasted and unroasted fox nuts;and their Glycemic Index (GI) in human subjects. Results showed that roasting significantly (P ≤ 0.05) improved the minerals content (from 0.58 to 0.66%), protein content (from 11.40 to 14.57%), total phenolics (from 346.02 to 470.62 mg GAE/100 g), flavonoids (from 4.15 to 4.43 mg CE/g), 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity (from 48.54 to 79.13% inhibition) and Ferric Reducing Antioxidant Power (from 662.46 to 957.14 μmol FeSO4/g). Consumer acceptance was evaluated with and without seasoning;both salt and spice seasoned roasted nuts had greater overall acceptability as compared to plain roasted and unroasted nuts. Fox nuts also reported low GI (37%) in human subjects (ethical approval #1772/01-06-2020). Thus, roasted fox nuts can be consumed as nutrient rich and low GI snack;not only as a component of healthy diet but can also be served to patients with metabolic disorders like obesity and diabetes.

关键词： Euryale ferox seeds Fox nuts Roasting Nutritious snack and low glycemic index foods

Probing nutritional and functional properties of salted noodles supplemented with ripen Banana peel powder

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Food Production, Processing and Nutrition 2022年第1期4卷 249-258页

作者： Imran pasha Abdul Basit muhammad Ahsin Farah Ahmad National Institute of Food Science and Technology Faculty of Food Nutrition and Home SciencesUniversity of AgricultureFaisalabad38000Pakistan

Banana peel is appreciated for higher dietary fiber, phenolics, flavonoid contents, and minerals (particularly iron, calcium, and potassium), despite being a waste product. After drying, it can be processed into powder/flour to be combined with wheat flour (WF) for development of value-added products. In this study, we substituted WF with banana peel powder (BPP) at supplementation rates of 5, 10, and 15%, and evaluated their suitability to develop salted noodles. The results showed that the composite flour with 15% BPP had significantly higher protein, ash, and crude fiber content as compared to control. Higher antioxidant capacity was observed in composite flour noodles: total phenolics content (TPC), total flavonoid content (TFC), ferric reducing power (FRAP) and DPPH reducing power were increased up to 278, 260, 143 and 13 percent respectively in the noodles containing 15% BPP as compared to control (100% WF). On the other hand, values for viscosity decreased up to 22% with addition of BPP in WF. Furthermore, water absorption capacity and cooking losses were increased up to 15 and 13 percent respectively with 15% BPP incorporation in WF. Results for sensory evaluation demonstrated that noodles with 10% BPP scored highest for sensory profile.

关键词： Banana peel Noodles Bioactive compounds Pasting properties Waste utilization

Current scenario and potential of biodiesel production from waste cooking oil in Pakistan: An overview

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2238-2250页

作者： Haris Mahmood Khan Chaudhry Haider Ali Tanveer Iqbal Saima Yasin muhammad Sulaiman Hamayoun Mahmood muhammad Raashid Mohsin pasha BozhongMu Department of Chemical Polymer and Composite Materials EngineeringUniversity of Engineering&TechnologyKSK CampusLahore 54890Pakistan East China University of Science and Technology Shanghai 200237China

Biodiesel utilization has been rapidly growing worldwide as the prime alternative to petrodiesel due to a global rise in diesel fuel demand along with hazardous emissions during its thermochemical ***,several debatable issues including feedstock availability and price,fuel and food competition,changes in land use and greenhouse gas emission have been raised by using edible as well as inedible feedstocks for the production of ***,non-crop feedstocks could be a promising *** this article,waste cooking oils have been recommended as a suitable option for biodiesel production bearing in mind the current national *** important factors such as the quantity of waste cooking oil produced,crude oil and vegetable oil import expenses,high-speed diesel imports,waste management issues and environmental hazards are ***,process simulation and operating cost evaluation of an acid catalyzed biodiesel production unit are also *** simulation results show that the production cost of waste cooking oil-based biodiesel is about 0.66 USD·*** believe that the present overview would open new pathways and ideas for the development of biofuels from waste to energy approach in Pakistan.

关键词： Biodiesel Waste cooking oil Feedstock sustainability Energy demand Pakistan

Numerical Simulation and Experimental Verification of CMOD in SENT Specimen: Application on FCGR of Welded Tool Steel

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Acta Metallurgica Sinica(English Letters) 2013年第1期26卷 92-96页

作者： Amir SULTAN Riffat Asim pasha Mifrah ALI muhammad Zubair KHAN muhammad Afzal KHAN Naeem Ullah DAR Masood SHAH Department of Mechanical Engineering University of Engineering and Technology International Islamic University

Single-edged notched tension （SENT） specimen is used to study the fatigue crack growth rate （FCGR） behavior of AISI 50100 steel using MTS 810. Calibration tests are run to get plots of crack mouth opening displacement （CMOD） vs. load and CMOD vs. crack length-to-width ratio with the known crack lengths. Numerical simulation is also done to try to establish a relation between crack length and CMOD. FCGR of welded and un-welded specimens are plotted against stress intensity factor range to show the effect of welding on fatigue crack growth rate of AISI 50100 steel. The experimentally obtained CMOD values are compared with values obtained by numerical simulation using ABAQUS/StandardTM software package. Results show that numerical values are in good agreement with experimental data for small crack lengths and lower values of applied load,

关键词： Tool steel Weld Single-edged notched tension (SENT) CMOD Fatigue crackgrowth rate (FCGR)