The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform

Solomia Fedushko - One of the best experts on this subject based on the ideXlab platform.

  • the computer Linguistic Analysis of socio demographic profile of virtual community member
    arXiv: Computers and Society, 2019
    Co-Authors: Yuriy Syerov, Solomia Fedushko
    Abstract:

    This article considers the current problem of investigation and development of computerLinguistic Analysis of socio-demographic profile of virtual community member. Webmembers' socio-demographic characteristics' profile validation based on Analysis of sociodemographic characteristics. The topicality of the paper is determined by the necessity to identify the web-community member by means of computer-Linguistic Analysis of their information track. The formal model of basic socio-demographic characteristics of virtual communities' member is formed. The structural model of lingvo-communicative indicators of socio-demographic characteristics of the web-members and common algorithm of the formation of lingvo-communicative indicators based on processing training sample are developed. Types of the computer-Linguistic Analysis of indicative characteristics are studied and classifications of lingvo-communicative indicators of gender, age and sphere of activities of web-community member is established. Also, the formal model of the basic socio-demographic characteristics of web-communities' member is introduced.

  • the computer Linguistic Analysis of socio demographic profile of virtual community member
    International Journal of Computer Science and Business Informatics, 2013
    Co-Authors: Yuriy Syerov, Solomia Fedushko
    Abstract:

    This article considers the current problem of investigation and development of computer-Linguistic Analysis of socio-demographic profile of virtual community member. Web-members’ socio-demographic characteristics’ profile validation based on Analysis of socio-demographic characteristics. The topicality of the paper is determined by the necessity to identify the web-community member by means of computer-Linguistic Analysis of their information track. The formal model of basic socio-demographic characteristics of virtual communities’ member is formed. The structural model of lingvo-communicative indicators of socio-demographic characteristics of the web-community members and common algorithm of the formation of lingvo-communicative indicators based on processing training sample are developed. Types of the computer-Linguistic Analysis of indicative characteristics is studied and classifications of lingvo-communicative indicators of gender, age and sphere of activities of web-community member is established. Also, the formal model of the basic socio-demographic characteristics of virtual communities’ member is introduced.

Stephen G. Macdonell - One of the best experts on this subject based on the ideXlab platform.

  • CHASE - What affects team behavior?: preliminary Linguistic Analysis of communications in the jazz repository
    2012 5th International Workshop on Co-operative and Human Aspects of Software Engineering (CHASE), 2012
    Co-Authors: Sherlock A. Licorish, Stephen G. Macdonell
    Abstract:

    There is a growing belief that understanding and addressing the human processes employed during software development is likely to provide substantially more value to industry than yet more recommendations for the implementation of various methods and tools. To this end, considerable research effort has been dedicated to studying human issues as represented in software artifacts, due to its relatively unobtrusive nature. We have followed this line of research and have conducted a preliminary study of team behaviors using data mining techniques and Linguistic Analysis. Our data source, the IBM Rational Jazz repository, was mined and data from three different project areas were extracted. Communications in these projects were then analyzed using the LIWC Linguistic Analysis tool. We found that although there are some variations in language use among teams working on project areas dedicated to different software outcomes, project type and the mix of (and number of) individuals involved did not affect team behaviors as evident in their communications. These assessments are initial conjectures, however; we plan further exploratory Analysis to validate these results. We explain these findings and discuss their implications for software engineering practice.

  • What affects team behavior? Preliminary Linguistic Analysis of communications in the Jazz repository
    2012 5th International Workshop on Co-operative and Human Aspects of Software Engineering CHASE 2012 - Proceedings, 2012
    Co-Authors: Sherlock A. Licorish, Stephen G. Macdonell
    Abstract:

    There is a growing belief that understanding and addressing the human processes employed during software development is likely to provide substantially more value to industry than yet more recommendations for the implementation of various methods and tools. To this end, considerable research effort has been dedicated to studying human issues as represented in software artifacts, due to its relatively unobtrusive nature. We have followed this line of research and have conducted a preliminary study of team behaviors using data mining techniques and Linguistic Analysis. Our data source, the IBM Rational Jazz repository, was mined and data from three different project areas were extracted. Communications in these projects were then analyzed using the LIWC Linguistic Analysis tool. We found that although there are some variations in language use among teams working on project areas dedicated to different software outcomes, project type and the mix of (and number of) individuals involved did not affect team behaviors as evident in their communications. These assessments are initial conjectures, however; we plan further exploratory Analysis to validate these results. We explain these findings and discuss their implications for software engineering practice.

Yuriy Syerov - One of the best experts on this subject based on the ideXlab platform.

  • the computer Linguistic Analysis of socio demographic profile of virtual community member
    arXiv: Computers and Society, 2019
    Co-Authors: Yuriy Syerov, Solomia Fedushko
    Abstract:

    This article considers the current problem of investigation and development of computerLinguistic Analysis of socio-demographic profile of virtual community member. Webmembers' socio-demographic characteristics' profile validation based on Analysis of sociodemographic characteristics. The topicality of the paper is determined by the necessity to identify the web-community member by means of computer-Linguistic Analysis of their information track. The formal model of basic socio-demographic characteristics of virtual communities' member is formed. The structural model of lingvo-communicative indicators of socio-demographic characteristics of the web-members and common algorithm of the formation of lingvo-communicative indicators based on processing training sample are developed. Types of the computer-Linguistic Analysis of indicative characteristics are studied and classifications of lingvo-communicative indicators of gender, age and sphere of activities of web-community member is established. Also, the formal model of the basic socio-demographic characteristics of web-communities' member is introduced.

  • the computer Linguistic Analysis of socio demographic profile of virtual community member
    International Journal of Computer Science and Business Informatics, 2013
    Co-Authors: Yuriy Syerov, Solomia Fedushko
    Abstract:

    This article considers the current problem of investigation and development of computer-Linguistic Analysis of socio-demographic profile of virtual community member. Web-members’ socio-demographic characteristics’ profile validation based on Analysis of socio-demographic characteristics. The topicality of the paper is determined by the necessity to identify the web-community member by means of computer-Linguistic Analysis of their information track. The formal model of basic socio-demographic characteristics of virtual communities’ member is formed. The structural model of lingvo-communicative indicators of socio-demographic characteristics of the web-community members and common algorithm of the formation of lingvo-communicative indicators based on processing training sample are developed. Types of the computer-Linguistic Analysis of indicative characteristics is studied and classifications of lingvo-communicative indicators of gender, age and sphere of activities of web-community member is established. Also, the formal model of the basic socio-demographic characteristics of virtual communities’ member is introduced.

Sherlock A. Licorish - One of the best experts on this subject based on the ideXlab platform.

  • CHASE - What affects team behavior?: preliminary Linguistic Analysis of communications in the jazz repository
    2012 5th International Workshop on Co-operative and Human Aspects of Software Engineering (CHASE), 2012
    Co-Authors: Sherlock A. Licorish, Stephen G. Macdonell
    Abstract:

    There is a growing belief that understanding and addressing the human processes employed during software development is likely to provide substantially more value to industry than yet more recommendations for the implementation of various methods and tools. To this end, considerable research effort has been dedicated to studying human issues as represented in software artifacts, due to its relatively unobtrusive nature. We have followed this line of research and have conducted a preliminary study of team behaviors using data mining techniques and Linguistic Analysis. Our data source, the IBM Rational Jazz repository, was mined and data from three different project areas were extracted. Communications in these projects were then analyzed using the LIWC Linguistic Analysis tool. We found that although there are some variations in language use among teams working on project areas dedicated to different software outcomes, project type and the mix of (and number of) individuals involved did not affect team behaviors as evident in their communications. These assessments are initial conjectures, however; we plan further exploratory Analysis to validate these results. We explain these findings and discuss their implications for software engineering practice.

  • What affects team behavior? Preliminary Linguistic Analysis of communications in the Jazz repository
    2012 5th International Workshop on Co-operative and Human Aspects of Software Engineering CHASE 2012 - Proceedings, 2012
    Co-Authors: Sherlock A. Licorish, Stephen G. Macdonell
    Abstract:

    There is a growing belief that understanding and addressing the human processes employed during software development is likely to provide substantially more value to industry than yet more recommendations for the implementation of various methods and tools. To this end, considerable research effort has been dedicated to studying human issues as represented in software artifacts, due to its relatively unobtrusive nature. We have followed this line of research and have conducted a preliminary study of team behaviors using data mining techniques and Linguistic Analysis. Our data source, the IBM Rational Jazz repository, was mined and data from three different project areas were extracted. Communications in these projects were then analyzed using the LIWC Linguistic Analysis tool. We found that although there are some variations in language use among teams working on project areas dedicated to different software outcomes, project type and the mix of (and number of) individuals involved did not affect team behaviors as evident in their communications. These assessments are initial conjectures, however; we plan further exploratory Analysis to validate these results. We explain these findings and discuss their implications for software engineering practice.

Maria Grigoricheva - One of the best experts on this subject based on the ideXlab platform.