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Querying Aggregated Social Media Dev...

Konchady, Shibani.

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Querying Aggregated Social Media Developer Profiles for New Hires.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Querying Aggregated Social Media Developer Profiles for New Hires./
Author:	Konchady, Shibani.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	137 p.
Notes:	Source: Masters Abstracts International, Volume: 56-01.
Contained By:	Masters Abstracts International56-01(E).
Subject:	Information science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10162619
ISBN:	9781369174083

Querying Aggregated Social Media Developer Profiles for New Hires.
Konchady, Shibani.

Querying Aggregated Social Media Developer Profiles for New Hires. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 137 p.

Source: Masters Abstracts International, Volume: 56-01.

Thesis (M.S.)--University of California, Irvine, 2016.

Software developers often seek to be a part of a new company, team, or even a different project within the same team. The decision to choose a developer who may be an appropriate fit may be made by evaluators such as team leads or recruiters. The developer may have information about his/her technical and social competency available on a resume and/or may have the raw data from technically-relevant activity publicly accessible on various social media platforms such as GitHub and Stack Overflow. An evaluator could go through each of these information sources manually or may choose to utilize Developer Profile Aggregators such as CoderWall or Visual Resume. Such aggregators tend to employ a browsing-style interface, which means the evaluator may need to search extensively for the information (s)he may be looking for.

ISBN: 9781369174083Subjects--Topical Terms:

554358
Information science.

Querying Aggregated Social Media Developer Profiles for New Hires.
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500 $a Source: Masters Abstracts International, Volume: 56-01.
500 $a Adviser: David F. Redmiles.
502 $a Thesis (M.S.)--University of California, Irvine, 2016.
520 $a Software developers often seek to be a part of a new company, team, or even a different project within the same team. The decision to choose a developer who may be an appropriate fit may be made by evaluators such as team leads or recruiters. The developer may have information about his/her technical and social competency available on a resume and/or may have the raw data from technically-relevant activity publicly accessible on various social media platforms such as GitHub and Stack Overflow. An evaluator could go through each of these information sources manually or may choose to utilize Developer Profile Aggregators such as CoderWall or Visual Resume. Such aggregators tend to employ a browsing-style interface, which means the evaluator may need to search extensively for the information (s)he may be looking for.
520 $a We researched the kinds of questions that evaluators may have that could be directly answered by the information available from the abovementioned sources. This was then used to develop an interface to more directly filter and view the answers to these questions. This system is called TecSo Lens and it is based on a previous browsing aggregator tool, Visual Resume. The questions and the answers that represent the data are also related to the factors that could influence trust during this evaluation process.
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