Abstract: According to one aspect of the present disclosure, a method and technique for automated time-to-value (TTV) measurement is disclosed. The method includes: initiating an installation module of an application to install the application on a data processing system; responsive to initiating installation of the application via the installation module, monitoring, via a TTV module of the application, a time period associated with the installation of the application; and recording, by the TTV module, the time period corresponding to the installation of the application.

Abstract: A method of processing a database can include comparing, using a processor, a delta file with a risk assessment criterion, wherein the delta file is generated from a first schema and a second and different schema, assigning a risk level to a change specified within the delta file according to the comparing, and applying the change of the delta file to a test database conforming to the first schema according to the assigned risk level.

Abstract: A method of processing a database can include comparing, using a processor, a delta file with a risk assessment criterion, wherein the delta file is generated from a first schema and a second and different schema, assigning a risk level to a change specified within the delta file according to the comparing, and applying the change of the delta file to a test database conforming to the first schema according to the assigned risk level.

Abstract: Embodiments of the present invention provide a method, system and computer program product for software requirements extraction from external sources for software development. In an embodiment of the invention, a method for software requirements extraction from external sources for software development includes retrieving content from over a computer communications network pertaining to a product. The content can include by way of example, a Web page, e-mail message, instant message, blog posting or social network posting, to name only a few. Within the content, a modal verb can be identified and text extracted that is proximate to the modal verb. Thereafter, a requirement can be generated for a revision of the product based upon the extracted text. Optionally, the requirement can be ranked according to the modal verb, for example, an imperative modal verb can correspond to a higher ranking than a suggestive modal verb.