SEMay 28, 2012

Current Web Application Development and Measurement Practices for Small Software Firms

arXiv:1205.6162v15 citations
Originality Synthesis-oriented
AI Analysis

This study addresses development and measurement challenges for small software firms, but it is incremental as it builds on existing practices without introducing new methods.

The paper investigated whether developers in Jordanian small software firms follow best practices in web application development and measurement, finding that variable and hierarchical clustering were used to group practices and determine acceptance degrees.

This paper discusses issues on current development and measurement practices that were identified from a pilot study conducted on Jordanian small software firms. The study was to investigate whether developers follow development and measurement best practices in web applications development. The analysis was conducted in two stages: first, grouping the development and measurement practices using variable clustering, and second, identifying the acceptance degree. Mean interval was used to determine the degree of acceptance. Hierarchal clustering was used to group the development and measurement practices. The actual findings of this survey will be used for building a new methodology for developing web applications in small software firms.

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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