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Methods of Generating Contextual Templates in Software Testing Disclosure Number: IPCOM000207834D
Publication Date: 2011-Jun-13
Document File: 3 page(s) / 44K

Publishing Venue

The Prior Art Database


Disclosed is a design for an on-demand template generator which generates a smart contextual template that is based on the current working item. This invention improves productivity during system testing cycles by reducing the need to repeatedly input the same information when creating new tasks in defect tracking tools.

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Methods of Generating Contextual Templates in Software Testing

When creating a new task in defect tracking tools, there is a lot of information to set up, such as: the product name, platform, language, version, component information, build information, etc. The information is normally very similar from one defect to the next in the same testing cycle. A lot of time is wasted to repeatedly manually input the same information for different items similar information needs to be repeated for each defect ever opened. For big products with thousands defects identified in two-month test cycle, it is redundant and frustrating for the analyst. This hurts the productivity of the testing teams. A method is needed to improve the repeated form-filing process and improve productivity.

Currently there exists no template for the diversified free form. The existing static template in the field will not fit the need of different business need as product/project focus areas vary due to their unique nature. Developing different static templates for different types of businesses or different environment setups are neither financially practical nor necessary.

The disclosed solution proposes an on-demand template generator which generates a smart contextual template that is based on the current working item.

No relevant prior art in contextual template generator for defect description was found.

There is a similar idea used in one operating system for Partitioned Data Set (PDS) allocation. There is an "allocate like" function that creates a new PDS with similar properties to those of an existing PDS. Although this is helpful for this operating system, it is solving a problem of a different domain (i.e., to assign a resource for use in performing a specific task) and addresses it with a different method. It is dynamic in a way that the generated resources are different based on different originals. It is certainly not contextual as is the method proposed here.

The disclosed method proposes a contextual template that is based on the current highlighted working item and semantic analysis of the error messages. Users can highlight certain segment (or the user interface provides a button) to generate a reusable template. The proposed function dynamically generates the contextual template based on some Natural Language Processing (NLP) logic, error messages, word expansions, etc. In addition, the user can promote the template to be used for other pages.

The novel contributions of this invention include:
• The ability to generate an on-demand template from raw unstructured free form text data

• The ability to use any selected/highlighted area for template generation.
• High flexibility to modularize finer granularity or aggregate template based on business demands.

• The ability to analyze the error message and associate it with certain applications


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or application modules and then dynamically generate the appropriate additional fields fo...