SENIJan 13, 2014

Capturing Evidence From Wireless Internet Services Development

arXiv:1401.2724v13 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of knowledge gaps and competitive pressures for software organizations in the wireless internet services domain, but it is incremental as it builds on existing evidence-based practices.

The paper tackles the challenge of rapid learning and evidence capture in the fast-evolving domain of wireless internet services development, by defining quantitative and qualitative evidence and providing templates for systematic capture, which were applied in two pilot projects.

The merging of the Internet with the Wireless services domain has created a potential market whose characteristics are new technologies and time-to-market pressure. The lack of knowledge about new technologies and the need to be competitive in a short time demand that software organizations learn quickly about this domain and its characteristics. Additionally, the effects of development techniques in this context need to be understood. Learning from previous experiences in such a changing environment demands a clear understanding of the evidence to be captured, and how it could be used in the future. This article presents definitions of quantitative and qualitative evidence, and templates for capturing such evidence in a systematic way. Such templates were used in the context of two pilot projects dealing with the development of Wireless Internet Services.

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