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Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes

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

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Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing

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Computers, Materials & Continua 2022年第6期71卷 4199-4220页

作者： Sami Ullah Khan Babar Nazir Muhammad Hanif Akhtar Ali sardar Alam usman Habib Department of Computer Science COMSATS UniversityAbbottabad CampusPakistan Faculty of Computer Science and Engineering Ghulam Ishaq Khan(GIK)Institute of Engineering Sciences and Technology TopiPakistan IFahja Pvt Limited PeshawarPakistan Department of Computer Science National University of Computer and Emerging Sciences IslamabadChiniot-Faisalabad CampusPakistan

The cloud service level agreement(SLA)manage the relationship between service providers and consumers in cloud *** is an integral and critical part of modern era IT vendors and communication *** to low cost and flexibility more and more consumers delegate their tasks to cloud providers,the SLA emerges as a key aspect between the consumers and *** monitoring of Quality of Service(QoS)attributes is required to implement SLAs because of the complex nature of cloud *** other factors,such as user reliability,satisfaction,and penalty on violations are also taken into ***,there is no such policy of cloud SLA monitoring to minimize SLA *** this work,we have proposed a cloud SLA monitoring policy by dividing a monitoring session into two parts,for critical and non-critical *** critical and non-critical parameters will be decided on the interest of the consumer during SLA *** will help to shape a new comprehensive SLA based Proactive Resource Allocation Approach(RPAA)which will monitor SLA at runtime,analyze the SLA parameters and try to find the possibility of SLA *** also have implemented an adaptive system for allocating cloud IT resources based on SLA violations and *** have defined two main components of SLA-PRAA i.e.,(a)Handler and(b)Accounting and Billing *** have also described the function of both components through *** experimental results validate the performance of our proposed method in comparison with state-of-the-art cloud SLA policies.

关键词： Energy consumption penalty calculation proactive resource allocation service level agreement(SLA)monitoring SLA violation detection

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Tocilizumab in severe COVID-19-A randomized,double-blind,placebo-controlled trial

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Infectious Medicine 2022年第2期1卷 88-94页

作者： Muhammad Irfan Malik sardar Al Fareed Zafar Fabiha Qayyum Muna Malik Muhammad Sohaib Asghar Muhammad Junaid Tahir Ammarah Arshad Fatima Khalil Hafiza Shafia Naz Mudassar Aslam Jodat Saleem Abdul Aziz Mustafa usman Azhar Muhammad Naqash Zohaib Yousaf Postgraduate Medical Institute LahorePakistan Lahore General Hospital LahorePakistan Ameer-ud-Din Medical College LahorePakistan Dow University of Health Sciences-Ojha Campus KarachiPakistan Sheikh Zayed Medical College Rahim Yar KhanPakistan Hamad Medical Corporation DohaQatar

Background:The therapeutic effectiveness of interleukin-6 receptor inhibitor in critically ill hospitalized patients with coronavirus disease 2019(COVID-19)is ***:To evaluate the efficacy and safety of the outcome as recovery or death of tocilizumab for severe acute respiratory syndrome-coronavirus-2(SARS-CoV-2)infection,we conducted a randomized,double-blinded,placebo-controlled phase 2 trial in critically ill COVID-19 adult *** patients were randomly assigned in a 4:1 ratio to receive standard medical treatment plus the recommended dose of either tocilizumab or the placebo *** was *** primary outcome was the recovery or death after administration of tocilizumab or a placebo *** secondary outcomes were clinical recovery or worsening of the patients’symptoms and inflammatory markers and discharge from the ***:Of 190 patients included in this study,152 received tocilizumab,and 38 received a *** duration of hospital stay of the interventional group was 12.9±9.2,while the placebo group had a more extended hospital stay(15.6±8.8).The mortality ratio for the primary outcome,ie,mortality or recovery in the tocilizumab group was 17.8%;p=0.58 by log-rank test).The mortality ratio in the placebo group was 76.3%;p=0.32 by log-rank test).The inflammatory markers in the tocilizumab group significantly declined by day 16 compared to the placebo ***:The use of tocilizumab was associated with decreased mortality,earlier improvement of inflamma-tory markers,and reduced hospital stay in patients with severe COVID-19.

关键词： Inflammatory Infectious Immunosuppression COVID-19 Therapy Trial

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