Pub Date : 2022-06-30DOI: 10.33411/ijist/2022040308
Haroon Gulzar, Taimoor Hassan
A house is considered a basic human need. It provides identity, security, belonging, and privacy. Regrettably, Pakistan is facing a housing backlog of almost 10 million units. This research aims to diagnose the problems related to accommodation that domestic workers are facing and to assess the pragmatic options for housing the labor class groups. Data for this research was collected from the residents, domestic workers, and relevant authorities through a structured questionnaire survey in selected case study areas. The dependent variable in the study is the provision of accommodation to the domestic workers, which needs to be calculated. The predictors or independent variables are affordability of domestic workers’ residence, salary, housing provision, financial status, and role of government. The results reveal that when “provision of housing allowance” to the domestic workers will help in overcoming the problem of housing available to the workers Its value goes up by 1, “provision of residence to domestic workers at nearby places” increases by 0.518 Similarly, “provision of nearby residence increases the work efficiency” goes up to 1, “provision of residence to domestic workers at nearby places” goes up by the value 0.118. Analysis revealed that workers’ work efficiency depends upon, Government and financial support from the people. The findings of the study/research analysis revealed that most domestic workers are being deprived of livable housing and have to bear significant travel expenses to reach their workplaces. There is a dire need to form a government-based strong association for the domestic worker which would work for the betterment of domestic workers to improve their quality of life. The government and private developers should increase the supply of low-income housing in the form of vertical growth development. It can be pertinent to propose that housing opportunities have to be placed close to the vicinity of workplaces to reduce the travel cost bear by domestic workers.
{"title":"Empirical Assessment for the Domestic Worker Housing: A Case Study of Lahore","authors":"Haroon Gulzar, Taimoor Hassan","doi":"10.33411/ijist/2022040308","DOIUrl":"https://doi.org/10.33411/ijist/2022040308","url":null,"abstract":"A house is considered a basic human need. It provides identity, security, belonging, and privacy. Regrettably, Pakistan is facing a housing backlog of almost 10 million units. This research aims to diagnose the problems related to accommodation that domestic workers are facing and to assess the pragmatic options for housing the labor class groups. Data for this research was collected from the residents, domestic workers, and relevant authorities through a structured questionnaire survey in selected case study areas. The dependent variable in the study is the provision of accommodation to the domestic workers, which needs to be calculated. The predictors or independent variables are affordability of domestic workers’ residence, salary, housing provision, financial status, and role of government. The results reveal that when “provision of housing allowance” to the domestic workers will help in overcoming the problem of housing available to the workers Its value goes up by 1, “provision of residence to domestic workers at nearby places” increases by 0.518 Similarly, “provision of nearby residence increases the work efficiency” goes up to 1, “provision of residence to domestic workers at nearby places” goes up by the value 0.118.\u0000Analysis revealed that workers’ work efficiency depends upon, Government and financial support from the people. The findings of the study/research analysis revealed that most domestic workers are being deprived of livable housing and have to bear significant travel expenses to reach their workplaces. There is a dire need to form a government-based strong association for the domestic worker which would work for the betterment of domestic workers to improve their quality of life. The government and private developers should increase the supply of low-income housing in the form of vertical growth development. It can be pertinent to propose that housing opportunities have to be placed close to the vicinity of workplaces to reduce the travel cost bear by domestic workers.","PeriodicalId":326014,"journal":{"name":"Vol 4 Issue 3","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977288","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}
Pub Date : 2022-06-30DOI: 10.33411/ijist/2022040310
Kashif Munawar, M. Naveed
Programming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program's testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source programs. During the study, 298 algorithms were selected and their implementations in Java and Python were analyzed with the cyclomatic complexity matrix. The results of the study show that Python's syntax is less complex than Java's, and thus coding in Python is more comprehensive and less difficult than Java coding. The Mann-Whitney U test was performed on the results of a statistical analysis that showed a significant difference between Java and Python, indicating that the syntax of a programming language has a major impact on program complexity. The novelty of this article lies in the formulation of new knowledge and study patterns that can be used primarily to compare and analyze other programming languages.
{"title":"The Impact of Language Syntax on the Complexity of Programs: A Case Study of Java and Python","authors":"Kashif Munawar, M. Naveed","doi":"10.33411/ijist/2022040310","DOIUrl":"https://doi.org/10.33411/ijist/2022040310","url":null,"abstract":"Programming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program's testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source programs. During the study, 298 algorithms were selected and their implementations in Java and Python were analyzed with the cyclomatic complexity matrix. The results of the study show that Python's syntax is less complex than Java's, and thus coding in Python is more comprehensive and less difficult than Java coding. The Mann-Whitney U test was performed on the results of a statistical analysis that showed a significant difference between Java and Python, indicating that the syntax of a programming language has a major impact on program complexity. The novelty of this article lies in the formulation of new knowledge and study patterns that can be used primarily to compare and analyze other programming languages.","PeriodicalId":326014,"journal":{"name":"Vol 4 Issue 3","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128306119","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}