Accenture Global Services Gmbh

Xerox Corporation

Accenture International Sarl

Jagadeesh Chandra Bose Rantham Prabhakara

Vikrant Shyamkant Kaulgud

Subramanya Prasad

Anitha Chandran

Sudhendu Rai

Manoj Gupta

Partha Dutta

Ashwin Nayak

Sangeetha Rao

Techniques enabling an end-user to specify complex concepts consisting of code abstractions, design abstractions and architectural abstractions in rule form are disclosed. In one embodiment, a graphical user interface is provided to guide a user through the process of entering concept specification information in order to define concepts, including the provision of one or more code snippets that are subsequently analyzed to assist the user in specifying the concept. The resulting rules or concept signatures are evaluated by a rule engine to determine the degree to which the underlying concepts are reflected in a given set of code. Recommended measures that need to be taken for transforming code to satisfy a concept may be provided subsequent to the analysis of the code. In this manner, code quality may be improved through systematic analysis of targeted code to demonstrate adherence (or non-adherence, as the case may be) to user-defined concepts.

Code quality improvement

Systems and methods receive manually created event logs that include manually entered data of executed processes, and such systems and methods automatically identify errors in the event logs (based on whether the data violates expected log content). The systems and methods classify the errors, prioritize the event logs into a priority order (based on a previously established error priority ranking), and output the event logs classified into different classifications (and in priority order). The systems and methods receive feedback in order to alter the priority order and the different classifications of the event logs. Further, these systems and methods automatically generate recommendations to correct the errors, using different recommendation processes based on the classifications of the errors. The event logs are output in the different classifications and in the priority order, and the locations of the errors within the event logs are identified by the systems and methods herein.

Assessing and improving quality of event logs including prioritizing and classifying errors into error-perspective and error-type classifications

A method of generating a cell design of print production devices for a print production environment includes receiving a print job list, and identifying a plurality of print production devices located in the production environment. The system identifies a list of functions associated with the print jobs, and generates a graph. The system determines a threshold value, and partitions the graph into a number of groups equal to the threshold value such that a number of edges extending between groups is minimized. The system generates an initial cell design for the print production environment, and causes a hardware setting of each of the plurality of production devices to be updated to reflect the cell to which the production device was assigned and to enable the production device to perform one or more functions associated with the cell to which the production device was assigned.

Methods and systems for cell design in a production environment

Identification of concepts in software

A document to be segmented is converted into a common representation format, if necessary. Parsing of the document results in a document model that is analyzed based on at least one structure-dependent function to identify segments within the document. In one embodiment, the structure-dependent function may comprise a template, or a best-fit template of a plurality of templates, used for comparison with the document model. In other embodiments, the structure-dependent function may comprise table of contents information, font properties within the document model and/or an average segment size determined according to previously identified segments in one or more additional documents that are related to the document under consideration. Semantic-content dependent functions may be applied to further refine the analysis by identifying sub-segments within the extracted segments, or by identifying segments that may be properly merged according to the similarity of their respective semantic content.

Method for the logical segmentation of contents

Keyword frequency data for a plurality of document-derived segments is represented in a matrix form in which each segment is represented as a vector of dimensionality equal to the number of keywords. The matrix may be subdivided into a plurality of sub-matrices, each preferably corresponding to a non-overlapping portion of the plurality of keywords. When determining a similarity measurement between any pair of segments, at least a portion of the keyword frequency data for each sub-matrix's non-overlapping keywords are used to determine a sub-matrix dot product for the pair of segments. The resulting plurality of sub-matrix dot products are then summed together in order to provide the similarity measurement. Keywords that are synonyms of each other may be accommodated through the modification of keyword frequency data. Where the keyword frequency data in the matrix representation is relative sparse, compressed views of the matrix representation may be provided.

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Andhra Pradesh, India

Jagadeesh Chandra Bose Rantham Prabhakara