Cloud computing is where software applications, data storage and processing capacity are accessed... more Cloud computing is where software applications, data storage and processing capacity are accessed via the internet. This paper involves with analysis of the importance of cloud computing in software application developed as a service. To achieved that, a web based application OPMaSwas developed to provide service that will improvetheaudit readiness and compliance, couple with conformance to records retention policies and automated record management bundled using SaaS model. The web application is meant to manage personnel of any given organization, providing strong functionalities developed in modules such as; personnel information management module, training information management module, leave management module, resume management module, appraisal management module, document management module, reporting module and payroll management module. This applies to a lot of third world countries especially in Nigeria where interest e-commerce is fast growing. The system was evaluated using...
Estimating software cost in an agile system in terms of effort is very challenging. This is becau... more Estimating software cost in an agile system in terms of effort is very challenging. This is because the traditional models of software cost estimation do not completely fit in the agile development process. This paper presents a methodology to enhance the cost of project estimation in agile development. The hybridization adopts Class Responsibility Collaborators models with function point thereby boosting the agile software development estimation process. The study found out that adopting the Hybridized Class Responsibility Collaborator with function point has great improvement on cost estimation in agile software development.
British Journal of Mathematics & Computer Science, 2017
Internal Sorting Algorithms are used when the list of records is small enough to be maintained en... more Internal Sorting Algorithms are used when the list of records is small enough to be maintained entirely in primary memory for the duration of the sort, while External Sorting Algorithms are used when the list of records is large enough to be maintained in physical memory hence a need for external/secondary storage for the duration of the sort. Almost all operations carried out by computing devices involve sorting and searching which employs Internal Sorting Algorithms. In this paper, we present an empirical analysis of Internal Sorting Algorithms (bubble, insertion, quick shaker, shell and selection) using sample comprising of list of randomly generated integer values between 100 to 50,000 samples. Using C++ time function, it was observed that insertion sort has the best performance on small sample say between 100 to 400. But when the sample size increases to 500, Shaker sort has better performance. Furthermore, when the sample grows above 500 samples, shell sort outperforms all the internal sorting algorithms considered in the study. Meanwhile, selection sort has displayed the worst performance on data samples of size 100 to 30,000. As the samples size grows to further to 50,000 and above, the performance of shaker sort and bubble sort depreciates even below that of selection sort. And when the sample size increases further from 1000 and above then shell sort should be considered first for sorting.
This paper examines the impact of oil price shocks on Nigerian economic growth while controlling ... more This paper examines the impact of oil price shocks on Nigerian economic growth while controlling the effects of unrest in the international oil market, exchange rate and agriculture output using quarterly time series data from 1970:q1-20011:q4.The broad objective of the study is to evaluate the long run relationship among the variables namely; oil price, exchange rate, agriculture output, unrest and economic growth. The research applied ADF unit root tests to ascertain the stationary of the series and also employed Johansen and Juselius (1990) trace and maximal eigenvalue tests to ensure long-run relationship among the variables under the study. In addition, structural Vector Autoregression (SVAR) is also applied in examining the link between the shocks emanating from oil price, unrest and their impacts on economic growth. The finding from ADF revealed that all the series at level are not stationary but stationary at first difference with constant. Moreover, the findings from SVAR using the Impulse response functions (IRFs) and variance decompositions (VDCs) indicated that the response of oil price shocks and unrest to (rGDP) economic growth depicts both positive and negative impact, i.e. long-run impact on economic growth exists. The study concludes that oil price, exchange rate, agriculture output and unrest contained some useful information in predicting the future path of economic growth in Nigeria. It, therefore, recommends that government should diversified the economy from oil to non oil sectors base and to improving the security situation in the Niger Delta with a view to boosting oil output, hence leading to increased revenue and by implication growth of the economy.
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Papers by Musa Yusuf