{"title":"Requirement Analysis issues in Pakistan Software Industry","authors":"Huma Chaudhry, Ayesha Asmat, M. Farooq","doi":"10.21015/VTSE.V13I3.513","DOIUrl":"https://doi.org/10.21015/VTSE.V13I3.513","url":null,"abstract":"Requirement Analysis is an important phase in software development. Failure or success of software product depends upon requirement analysis phases. In this paper, a detailed critical analysis was conducted to find out the expected issues behind software project’s failure. It has been found that several issues are associated with this phase such as: customer ambiguity, requirement changing during the project etc. The study was conducted by questionnaires to figure out these issues in the Pakistani software industry.","PeriodicalId":173416,"journal":{"name":"VFAST Transactions on Software Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126599043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Zahid, M.Waji Haider, M. Farooq, A. Abid, Amjad Ali
{"title":"A Critical Analysis of Software Failure Causes From Project Management Perspectives","authors":"A. Zahid, M.Waji Haider, M. Farooq, A. Abid, Amjad Ali","doi":"10.21015/VTSE.V13I3.512","DOIUrl":"https://doi.org/10.21015/VTSE.V13I3.512","url":null,"abstract":"With the growth of technology, people and companies are more relying on software systems. For that, we need a product/software that is trustworthy, reliable, and economical. It should be maintainable, dependable and useable. If the software is developed with much accuracy, everything is being done by it as planned and the software is set to the market then the success rate will be high. But if there is any bug in the software then not only the software will fail but it will also affect the organizations that are responsible for making it. So the failure of software also has a great impact on the organization. In this research, we are going to present a detailed and critical analysis of all those causes due to which the software fails and the factors that hinder in a project success. We will study the existing software development processes and also analyze how they can helpful in reducing these causes.","PeriodicalId":173416,"journal":{"name":"VFAST Transactions on Software Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129469918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prediction of Heart Disease using Artificial Neural Network","authors":"S. Awan, M. Riaz, Abdul Ghaffar Khan","doi":"10.21015/VTSE.V13I3.511","DOIUrl":"https://doi.org/10.21015/VTSE.V13I3.511","url":null,"abstract":"Heart disease is increasing rapidly due to number of reasons. If we predict cardiac arrest (dangerous conditions of heart) in the early stages, it will be very helpful to cured this disease. Although doctors and health centres collect data daily, but mostly are not using machine learning and pattern matching techniques to extract the knowledge that can be very useful in prediction. Bioinformatics is the real world application of machine learning to extract patterns from the datasets using several data mining techniques. In this research paper, data and attributes are taken from the UCI repository. Attribute extraction is very effective in mining information for the prediction. By utilizing this, various patterns can be derived to predict the heart disease earlier. In this paper, we enlighten the number of techniques in Artificial Neural Network (ANN). The accuracy is calculated and visualized such as ANN gives 94.7% but with Principle Component Analysis (PCA) accuracy rate improve to 97.7%.","PeriodicalId":173416,"journal":{"name":"VFAST Transactions on Software Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
