Vol 3 No 2最新文献_第2页

Implementation of Kanban Techniques in Software Development Process: An Empirical Study Based on Benefits and Challenges 看板技术在软件开发过程中的实施:基于收益与挑战的实证研究

Vol 3 No 2 Pub Date : 2020-03-05 DOI: 10.30537/sjcms.v3i2.356

Muhammad Noman Riaz

{"title":"Implementation of Kanban Techniques in Software Development Process: An Empirical Study Based on Benefits and Challenges","authors":"Muhammad Noman Riaz","doi":"10.30537/sjcms.v3i2.356","DOIUrl":"https://doi.org/10.30537/sjcms.v3i2.356","url":null,"abstract":"It has been observed that there is an increasing trend of implementing Lean Techniques as a whole in general and Kanban in particular in the software development process all across the globe to reap the proclaimed advantages of these techniques as documented in the available literature and verified by the Lean practitioners. The main goal of this paper is to highlight the present state of implementation and usage of Kanban techniques in the software development process, its obtained and to-be-obtained benefits, challenges that are being faced by the software development companies and the reason(s) of motivation that compels the organization to adopt Kanban technique. Furthermore, the solutions for challenges identified during the study will also be suggested. In order to achieve this, an empirical study has been conducted encompassing a survey followed by complementing thematic interview sessions with 241 employees of 67 software companies of Pakistan. The companies involved in the empirical study have reasonable years of experience in practicing Agile and Lean techniques. Generally, the obtained results depict that the usage of Kanban techniques is rather positive and appreciative; however, the challenges that are being faced in Kanban adoption are lack of specialized training and experience pertaining to its usage and a too conventional organizational culture.","PeriodicalId":412168,"journal":{"name":"Vol 3 No 2","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080566","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}

引用次数: 4

Crime Mapping in Gujrat, Pakistan using GIS 使用GIS绘制巴基斯坦古吉拉特邦的犯罪地图

Vol 3 No 2 Pub Date : 2020-03-05 DOI: 10.30537/sjcms.v3i2.470

Syeda Ambreen Zahra

{"title":"Crime Mapping in Gujrat, Pakistan using GIS","authors":"Syeda Ambreen Zahra","doi":"10.30537/sjcms.v3i2.470","DOIUrl":"https://doi.org/10.30537/sjcms.v3i2.470","url":null,"abstract":"Abstract—In previous years, crime has turned into a broad spectrum term in Pakistan. Street crime in Pakistan is in the high range. This needs a measurable research on crime mapping. Research about crime with its spatial and temporal distribution is important because data about crime Events is one of the most necessary need to Defends against crime [19]. Crime mapping is figure out how crimes are spread evenly over the zone. GIS plays an effective role in mapping of crime. This paper puts on the diverse utilities of GIS to Identify the hot, low crime area and safe area of Gujrat, Pakistan in addition to encourage the advancement of investigation and safety strategy for policing using GIS. This Research using GIS present better investigation for crime mapping in Gujrat, Pakistan so by using GIS in police department can be successfully applied on all police stations for better safety. GIS is technological gadgets which normally improve policing process as it simplifies the cognitive metrics and relationships between spatial localities. Studies reveal that GIS can holistically be integrated with crime investigating systems of police. This indicates that GIS is feasible, adoptable and adaptable tool in crime Deducting systems. This study aims to find out generic crime activity patterns of Gujrat using applications of GIS in crime patrolling and reduction activities. This study also aims to ensure that GIS can improve crime prediction and proactive measures for crime control in Gujrat. It will not only highlight the hot spots of crime.","PeriodicalId":412168,"journal":{"name":"Vol 3 No 2","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123165494","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}

引用次数: 0

A Review of Virtual Touch Interaction Systems 虚拟触摸交互系统综述

Vol 3 No 2 Pub Date : 1900-01-01 DOI: 10.30537/sjcms.v3i2.510

Rizwan Ali Abro, Ahsanullah Abro, Sana Fatima, Sarang Shaikh, Sindhu, Abro

引用次数: 0

Performance Comparison of SVM and its Variants for the Early Prognosis of Breast Cancer 支持向量机及其变体在乳腺癌早期预后中的性能比较

Vol 3 No 2 Pub Date : 1900-01-01 DOI: 10.30537/sjcms.v3i2.465

T. Khan, M. Alam, Z. Shahid, M. Mazliham

{"title":"Performance Comparison of SVM and its Variants for the Early Prognosis of Breast Cancer","authors":"T. Khan, M. Alam, Z. Shahid, M. Mazliham","doi":"10.30537/sjcms.v3i2.465","DOIUrl":"https://doi.org/10.30537/sjcms.v3i2.465","url":null,"abstract":"Breast cancer has become a leading cause of women death in this era. Breast cancer is very common in various countries including Pakistan. Early identification of the breast cancer or tumor is the only way for the rapid treatment and cure. An imaging approach named as mammography has performed tremendous job in the field of medical to detect the cancer tumors on early basis with less false alarm rate. Breast cancer has two types of tumors a) Benign and b) Malignant. Malignant is acknowledged as cancer tumor as it spread and grow rapidly inside the tissues. Detection of Malignant tumor is very complex in dense breast as it is covered and linked with the milk glands, ducts and other related tissues. Therefore, machine learning and artificial intelligence approaches were needed as mammographic images required edge detection, image enhancement and image processing. Various Artificial Intelligence based algorithms have been applied to the clinical breast cancer data set for the early detection of breast tumor. In this research work the clinical data has been collected from the UCI machine learning repository for the classification of breast cancer tumor a) Benign and b) Malignant. Support Vector machine with its variants Kernel, Gaussian Kernel and Sigmoid Kernel have been applied to the linearly separable breast cancer data set for comparative analysis. Results proved that all the variants of SVM performed better for the breast cancer classification.","PeriodicalId":412168,"journal":{"name":"Vol 3 No 2","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124810785","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}

引用次数: 0

The Solution of Maintenance Strategy Selection Problem by using modified Fuzzy TOPSIS for Material Handling Equipment 用改进模糊TOPSIS法求解物料搬运设备维修策略选择问题

Vol 3 No 2 Pub Date : 1900-01-01 DOI: 10.30537/sjcms.v3i2.511

A. Kausar, Sanagou Akram, M. F. Tabassum, Adeel Ahmad, Shahzaman Khan

引用次数: 2