The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Customers need to know how reliable a new release is, and whether or not the new release has substantially different, either better or worse, reliability than the one currently in production. Customers are demanding quantitative evidence, based on pre-release metrics, to help them decide whether or not to upgrade (and thereby offer new features and capabilities to their customers). Finding ways to...
It is necessary to balance the contributions from four primary software testing 'dimensions,' in the integration branch test cycle for waterfall and hybrid waterfall/agile projects, to achieve best-in-class customer experience: 1) Sufficient testing resources (engineers) are needed to ensure that adequate testing is accomplished, 2) sufficient bug fixing resources (engineers) are needed to ensure...
At Cisco, our primary measure of field reliability is Software Defects Per Million Hours (SWDPMH), and this metric is goaled on a yearly basis for over 120 product families. A key reason SWDPMH is considered to be of critical importance is that we see high correlation between SWDPMH and Software Customer Satisfaction (SW CSAT) over the wide spectrum of products and feature releases. Therefore, it...
The objective of the work described is to accurately predict, as early as possible in the software lifecycle, how reliably a new software release will behave in the field. The initiative is based on a set of innovative mathematical models that have consistently shown a high correlation between key in-process metrics and our primary customer experience metric, SWDPMH (Software Defects per Million Hours...
The objective of the work described is to accurately predict, as early as possible in the software lifecycle, how reliably a new software release will behave in the field. The initiative is based on a set of innovative mathematical models that have consistently shown a high correlation between key in-process metrics and our primary customer experience metric, SWDPMH (Software Defects per Million Hours...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.