International Business Machines Corporation

Sherif Sabry

Hisham Emad Elshishiny

Ossama Shokry

Sherif Magdy Mohamed Mahmoud Ali

Ghada H Selim

Ola Abdelwahab Dessouky Ahmed Elabbady

A computer system for improving the presentation of social media data from multiple social network feeds is provided. The computer system may include aggregating social media content received from the multiple social network feeds. The computer system may also include generating filtered data by eliminating repetitive data from among the received aggregated social media content. The computer system may further include analyzing the filtered data for determining at least one data category and presenting a digest of social media content based on the determined at least one data category.

Preference based system and method for multiple feed aggregation and presentation

A method for improving the presentation of social media data from multiple social network feeds is provided. The method may include aggregating social media content received from the multiple social network feeds. The method may also include generating filtered data by eliminating repetitive data from among the received aggregated social media content. The method may further include analyzing the filtered data for determining at least one data category and presenting a digest of social media content based on the determined at least one data category.

Searching source code includes receiving a search string, a feature type and details of source code to be searched. The source code is parsed to generate an abstract syntax tree. The abstract syntax tree is indexed using a search structure defining all source code features for which searching is enabled. The search string is searched for the search string of the feature type in the indexed abstract syntax tree using a results structure defining the search outputs to be retrieved. A structured search result based on the output of the searching is provided. The structured search result is stored in the storage device.

Searching source code

Use of an Abstract Syntax Tree (AST) to select portions of source code when analyzing the affect of changes in that source code from one version to another. In this way, it is possible to better focus on how changes in the source code, especially changes which only impact limited portion(s) of the source code, affect code quality with respect to measures like code complexity, performance and so on.

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Cairo, Egypt

Sherif Sabry