Matches in SemOpenAlex for { <https://semopenalex.org/work/W3039102968> ?p ?o ?g. }
Showing items 1 to 43 of
43
with 100 items per page.
- W3039102968 abstract "In this paper, we propose an approach to assess the ability of developers based on their behavior data from OSS. Specifically, we classify developers' ability into code ability, project management ability, and social ability. Code efficiency is related to the developer's commit record and the pull-request record. The developer's project management ability is achieved by tracking the developer's commit record. We use regular matching to map the commit behavior to the project management behavior and calculate the developer's project management ability according to the proportion of different behaviors. The social ability of developers is related to the data that developers interact with in the open-source community. We dug for developer reviews on commit, issue, and gist fragments. By calculating the proportion of positive emotions in developer reviews and the proportion of developers interacting with others in the reviews, the social ability of developers is obtained. We get behavioral data from 50 random developers. Twitter's data is used to test the effect of different machine learning algorithms on the accuracy of developer comment polarity judgments. It is found that the combination of SVM, xgboost and random forest have the highest prediction accuracy. Finally, we select 5 students to use Likert scale to score the results. Our score shows that the results are basically in line with expectations." @default.
- W3039102968 created "2020-07-10" @default.
- W3039102968 creator A5014549242 @default.
- W3039102968 creator A5086449246 @default.
- W3039102968 date "2020-05-29" @default.
- W3039102968 modified "2023-09-29" @default.
- W3039102968 title "A Multidimensional Approach of Evaluating Developers" @default.
- W3039102968 cites W1963578450 @default.
- W3039102968 cites W1989862714 @default.
- W3039102968 cites W2044679885 @default.
- W3039102968 cites W2078784669 @default.
- W3039102968 cites W2166838101 @default.
- W3039102968 cites W2344784027 @default.
- W3039102968 cites W2588323467 @default.
- W3039102968 cites W2892088055 @default.
- W3039102968 cites W3122321263 @default.
- W3039102968 doi "https://doi.org/10.1145/3404512.3404520" @default.
- W3039102968 hasPublicationYear "2020" @default.
- W3039102968 type Work @default.
- W3039102968 sameAs 3039102968 @default.
- W3039102968 citedByCount "0" @default.
- W3039102968 crossrefType "proceedings-article" @default.
- W3039102968 hasAuthorship W3039102968A5014549242 @default.
- W3039102968 hasAuthorship W3039102968A5086449246 @default.
- W3039102968 hasConcept C41008148 @default.
- W3039102968 hasConceptScore W3039102968C41008148 @default.
- W3039102968 hasLocation W30391029681 @default.
- W3039102968 hasOpenAccess W3039102968 @default.
- W3039102968 hasPrimaryLocation W30391029681 @default.
- W3039102968 hasRelatedWork W2093578348 @default.
- W3039102968 hasRelatedWork W2130043461 @default.
- W3039102968 hasRelatedWork W2350741829 @default.
- W3039102968 hasRelatedWork W2358668433 @default.
- W3039102968 hasRelatedWork W2376932109 @default.
- W3039102968 hasRelatedWork W2382290278 @default.
- W3039102968 hasRelatedWork W2390279801 @default.
- W3039102968 hasRelatedWork W2748952813 @default.
- W3039102968 hasRelatedWork W2899084033 @default.
- W3039102968 hasRelatedWork W3004735627 @default.
- W3039102968 isParatext "false" @default.
- W3039102968 isRetracted "false" @default.
- W3039102968 magId "3039102968" @default.
- W3039102968 workType "article" @default.