In this paper, we discuss design, implementation, and evaluation of an experimental intelligent software early warning system based on fuzzy logic using an integrated set of software metrics.
This report presents a study of 155 users using real software update and warning messages.
We present evidence of the effect of prior experience on current behavior in response to software update and warning messages. .
A multi-formatted survey was used to gather the opinions of participants about current software update and warning messages.
This connection is intuitive if one considers the goal of software update and warning messages, which is to be easy to follow, eye-catching, and persuasive.
Messages that better communicate in the context of software update and warning messages will do so by communicating importance and noticeability since these are goals of such messages.
Though we have presented several key findings related to the user perception of software update and warning messages, we are unable to extrapolate our findings to the population in general.
The findings presented in this report can serve as a starting point for further investigation into the design and delivery of software update and warning messages for the general population by prompting similar investigations that focus on other populations or message designs/types.
Since its business is driven by enterprise software, the warning isn't a surprise, says Brent Bracelin, analyst at Pacific Crest Securities, who lowered his estimates two weeks ago.
