estimating maintenance cost for web applications

estimating maintenance cost for web applications

;Ion IVAN;Mihai Liviu DESPA
fuel 2016 Vol. 20 pp. 34-43
97
ivan2016informaticestimating

Abstract

The current paper tackles the issue of determining a method for estimating maintenance costs for web applications. The current state of research in the field of web application maintenance is summarized and leading theories and results are highlighted. The cost of web maintenance is determined by the number of man-hours invested in maintenance tasks. Web maintenance tasks are categorized into content maintenance and technical maintenance. Research is centered on analyzing technical maintenance tasks. The research hypothesis is formulated on the assumption that the number of man-hours invested in maintenance tasks can be assessed based on the web application’s user interaction level, complexity and content update effort. Data regarding the costs of maintenance tasks is collected from 24 maintenance projects implemented by a web development company that tackles a wide area of web applications. Homogeneity and diversity of collected data is submitted for debate by presenting a sample of the data and depicting the overall size and comprehensive nature of the entire dataset. A set of metrics dedicated to estimating maintenance costs in web applications is defined based on conclusions formulated by analyzing the collected data and the theories and practices dominating the current state of research. Metrics are validated with regards to the initial research hypothesis. Research hypothesis are validated and conclusions are formulated on the topic of estimating the maintenance cost of web applications. The limits of the research process which represented the basis for the current paper are enunciated. Future research topics are submitted for debate.

Citation

ID: 168367
Ref Key: ivan2016informaticestimating
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
168367
Unique Identifier:
10.12948/issn14531305/20.4.2016.04
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet