Success Prediction of Crowdsourced Projects for Competitive Crowdsourced Software Development
Competitive Crowdsourcing Software Development (CCSD) is popular among academics and industries because of its cost-effectiveness, reliability, and quality. However, CCSD is in its early stages and does not resolve major issues, including having a low solution submission rate and high project failur...
Uloženo v:
| Vydáno v: | Applied sciences Ročník 14; číslo 2; s. 489 |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Basel
MDPI AG
01.01.2024
|
| Témata: | |
| ISSN: | 2076-3417, 2076-3417 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Competitive Crowdsourcing Software Development (CCSD) is popular among academics and industries because of its cost-effectiveness, reliability, and quality. However, CCSD is in its early stages and does not resolve major issues, including having a low solution submission rate and high project failure risk. Software development wastes stakeholders’ time and effort as they cannot find a suitable solution in a highly dynamic and competitive marketplace. It is, therefore, crucial to automatically predict the success of an upcoming software project before crowdsourcing it. This will save stakeholders’ and co-pilots’ time and effort. To this end, this paper proposes a well-known deep learning model called Bidirectional Encoder Representations from Transformers (BERT) for the success prediction of Crowdsourced Software Projects (CSPs). The proposed model is trained and tested using the history data of CSPs collected from TopCoder using its REST API. The outcomes of hold-out validation indicate a notable enhancement in the proposed approach compared to existing methods, with increases of 13.46%, 8.83%, and 11.13% in precision, recall, and F1 score, respectively. |
|---|---|
| AbstractList | Competitive Crowdsourcing Software Development (CCSD) is popular among academics and industries because of its cost-effectiveness, reliability, and quality. However, CCSD is in its early stages and does not resolve major issues, including having a low solution submission rate and high project failure risk. Software development wastes stakeholders’ time and effort as they cannot find a suitable solution in a highly dynamic and competitive marketplace. It is, therefore, crucial to automatically predict the success of an upcoming software project before crowdsourcing it. This will save stakeholders’ and co-pilots’ time and effort. To this end, this paper proposes a well-known deep learning model called Bidirectional Encoder Representations from Transformers (BERT) for the success prediction of Crowdsourced Software Projects (CSPs). The proposed model is trained and tested using the history data of CSPs collected from TopCoder using its REST API. The outcomes of hold-out validation indicate a notable enhancement in the proposed approach compared to existing methods, with increases of 13.46%, 8.83%, and 11.13% in precision, recall, and F1 score, respectively. |
| Audience | Academic |
| Author | Rashid, Tahir Baashirah, Rania Anwar, Shumaila Umer, Qasim Jaffar, Muhammad Arfan Hakami, Hanadi |
| Author_xml | – sequence: 1 givenname: Tahir surname: Rashid fullname: Rashid, Tahir – sequence: 2 givenname: Shumaila surname: Anwar fullname: Anwar, Shumaila – sequence: 3 givenname: Muhammad Arfan surname: Jaffar fullname: Jaffar, Muhammad Arfan – sequence: 4 givenname: Hanadi orcidid: 0000-0001-5627-6805 surname: Hakami fullname: Hakami, Hanadi – sequence: 5 givenname: Rania surname: Baashirah fullname: Baashirah, Rania – sequence: 6 givenname: Qasim orcidid: 0000-0002-0237-3025 surname: Umer fullname: Umer, Qasim |
| BookMark | eNptUVtrHCEUlpJA02Sf-gcG-lg2VccZ9TFsLwkEGkjyGOSMHoPL7jhRN0v_fd1sKJsSfVCO302-T-RojCMS8pnR87bV9BtMExOUU6H0B3LCqeznrWDy6OD-kcxyXtK6NGsVoyfk4XZjLebc3CR0wZYQxyb6ZpHi1uW4SRZdfYpLtCU3PqZmEdcTllDCM75F3UZftpCw-Y7PuIrTGsdyRo49rDLOXs9Tcv_zx93icn79-9fV4uJ6bgVty1xIjaLjved-oF1LQTn0DFU_cD4wEJ2VNa_TMGjZeQe95VIiUBBOWBi69pRc7XVdhKWZUlhD-mMiBPMyiOnRQCrBrtBo6WXvfCV1TIBQSjuhqgMwLjh1WLW-7LWmFJ82mItZ1h-ONb7hmqlOyl7uHM_3qEeoomH0sSSwdTtcB1uL8aHOL6SiSlLd95XwdU-wKeac0P-LyajZ9WcO-qto9h_ahgK7dqpNWL3L-QvVbJ_4 |
| CitedBy_id | crossref_primary_10_1016_j_jnca_2025_104196 crossref_primary_10_3390_computers13100266 crossref_primary_10_1016_j_future_2025_108004 |
| Cites_doi | 10.1145/2567948.2567951 10.1145/3382494.3410689 10.1109/SERA54885.2022.9806724 10.1109/SOFTWAREMINING.2017.8100851 10.1109/ICSE-C.2017.149 10.1109/ACCESS.2019.2915604 10.1109/TSE.2016.2584053 10.1109/APSEC.2017.56 10.1155/2021/5518878 10.1007/s11704-019-8418-4 10.1016/j.infsof.2007.09.004 10.1057/s41599-023-02335-0 10.1109/ACCESS.2022.3190970 10.1016/j.techfore.2022.121520 10.1016/j.psychres.2021.114135 10.1109/TEM.2022.3140358 10.1016/j.jss.2021.110965 10.1109/TSE.2021.3081171 10.3115/v1/D14-1162 10.1145/3463932 10.1109/ESEM.2015.7321192 10.1007/s12083-020-01000-6 10.1145/3487571 10.1109/CSI-SE.2015.9 10.1007/978-3-662-46078-8_6 10.1016/j.jss.2016.09.015 10.1007/978-3-642-59412-0_38 10.18653/v1/E17-2068 10.29333/ejmste/12428 10.1109/ACCESS.2017.2747660 10.1145/2961111.2962594 10.1016/j.technovation.2014.01.011 10.1016/j.techsoc.2020.101337 10.1109/ICGSE.2016.13 10.1016/j.asoc.2022.109687 10.1016/j.chb.2010.12.007 10.1016/j.knosys.2021.106770 10.1145/2889160.2889225 10.1111/jpim.12666 10.1080/13691181003624090 10.1007/s11704-013-2320-2 10.3115/1220575.1220620 10.5220/0011000500003179 10.1016/j.jbusres.2021.09.032 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2024 MDPI AG 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: COPYRIGHT 2024 MDPI AG – notice: 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION ABUWG AFKRA AZQEC BENPR CCPQU DWQXO PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI DOA |
| DOI | 10.3390/app14020489 |
| DatabaseName | CrossRef ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest Central ProQuest One Academic Middle East (New) ProQuest One Academic UKI Edition ProQuest Central Essentials ProQuest Central Korea ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Publicly Available Content Database CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Sciences (General) |
| EISSN | 2076-3417 |
| ExternalDocumentID | oai_doaj_org_article_97f76dfb53514a4889d4845ca12420de A780870966 10_3390_app14020489 |
| GeographicLocations | Germany |
| GeographicLocations_xml | – name: Germany |
| GroupedDBID | .4S 2XV 5VS 7XC 8CJ 8FE 8FG 8FH AADQD AAFWJ AAYXX ADBBV ADMLS AFFHD AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS APEBS ARCSS BCNDV BENPR CCPQU CITATION CZ9 D1I D1J D1K GROUPED_DOAJ IAO IGS ITC K6- K6V KC. KQ8 L6V LK5 LK8 M7R MODMG M~E OK1 P62 PHGZM PHGZT PIMPY PROAC TUS ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI |
| ID | FETCH-LOGICAL-c403t-479e4526f2fb0530a8def1e86b22b1a45c7913d9ab975fda6c277ea0a4d4cab53 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 4 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001149314600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2076-3417 |
| IngestDate | Fri Oct 03 12:52:51 EDT 2025 Mon Jun 30 14:33:50 EDT 2025 Tue Nov 04 18:29:42 EST 2025 Sat Nov 29 07:14:44 EST 2025 Tue Nov 18 21:34:47 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c403t-479e4526f2fb0530a8def1e86b22b1a45c7913d9ab975fda6c277ea0a4d4cab53 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-5627-6805 0000-0002-0237-3025 |
| OpenAccessLink | https://doaj.org/article/97f76dfb53514a4889d4845ca12420de |
| PQID | 2918577675 |
| PQPubID | 2032433 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_97f76dfb53514a4889d4845ca12420de proquest_journals_2918577675 gale_infotracacademiconefile_A780870966 crossref_primary_10_3390_app14020489 crossref_citationtrail_10_3390_app14020489 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-01-01 |
| PublicationDateYYYYMMDD | 2024-01-01 |
| PublicationDate_xml | – month: 01 year: 2024 text: 2024-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Applied sciences |
| PublicationYear | 2024 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | ref_50 Sun (ref_11) 2011; 27 Yin (ref_34) 2020; 63 ref_14 ref_12 Wang (ref_35) 2021; 48 ref_53 ref_52 ref_51 Machado (ref_40) 2021; 5 ref_19 Jo (ref_54) 2023; 10 Beecham (ref_10) 2008; 50 Illahi (ref_4) 2021; 178 ref_17 ref_16 ref_15 Martinez (ref_13) 2014; 34 Alabdulaziz (ref_42) 2022; 18 Xu (ref_43) 2022; 139 Mao (ref_2) 2017; 126 He (ref_36) 2022; 10 ref_25 ref_20 Brabham (ref_7) 2010; 13 ref_29 ref_27 ref_26 Feng (ref_44) 2022; 177 Yuen (ref_23) 2021; 219 Wang (ref_24) 2022; 31 ref_32 Hu (ref_28) 2020; 14 ref_31 Mazzola (ref_33) 2023; 40 Kamar (ref_39) 2012; 12 Tunio (ref_5) 2017; 5 Illahi (ref_18) 2019; 7 ref_38 ref_37 ref_47 ref_46 Storey (ref_1) 2016; 43 ref_45 Yin (ref_22) 2021; 14 ref_41 ref_3 Amelio (ref_30) 2022; 130 Wawer (ref_49) 2021; 304 ref_9 ref_8 Huang (ref_21) 2021; 2021 Wu (ref_48) 2013; 7 ref_6 |
| References_xml | – ident: ref_29 doi: 10.1145/2567948.2567951 – ident: ref_46 doi: 10.1145/3382494.3410689 – ident: ref_41 doi: 10.1109/SERA54885.2022.9806724 – ident: ref_32 – ident: ref_6 doi: 10.1109/SOFTWAREMINING.2017.8100851 – ident: ref_26 – ident: ref_17 doi: 10.1109/ICSE-C.2017.149 – volume: 7 start-page: 62042 year: 2019 ident: ref_18 article-title: An empirical study on competitive crowdsource software development: Motivating and inhibiting factors publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2915604 – volume: 43 start-page: 185 year: 2016 ident: ref_1 article-title: How social and communication channels shape and challenge a participatory culture in software development publication-title: IEEE Trans. Softw. Eng. doi: 10.1109/TSE.2016.2584053 – ident: ref_16 doi: 10.1109/APSEC.2017.56 – volume: 2021 start-page: 5518878 year: 2021 ident: ref_21 article-title: An efficient decision support system for the selection of appropriate crowd in crowdsourcing publication-title: Complexity doi: 10.1155/2021/5518878 – volume: 14 start-page: 1 year: 2020 ident: ref_28 article-title: Quality assessment in competition-based software crowdsourcing publication-title: Front. Comput. Sci. doi: 10.1007/s11704-019-8418-4 – volume: 50 start-page: 860 year: 2008 ident: ref_10 article-title: Motivation in Software Engineering: A systematic literature review publication-title: Inf. Softw. Technol. doi: 10.1016/j.infsof.2007.09.004 – volume: 10 start-page: 824 year: 2023 ident: ref_54 article-title: Factors influencing continuance intention of participants in crowdsourcing publication-title: Humanit. Soc. Sci. Commun. doi: 10.1057/s41599-023-02335-0 – volume: 10 start-page: 74291 year: 2022 ident: ref_36 article-title: Investigating Business Sustainability of Crowdsourcing Platforms publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3190970 – volume: 177 start-page: 121520 year: 2022 ident: ref_44 article-title: How do gamification mechanics drive solvers’ Knowledge contribution? A study of collaborative knowledge crowdsourcing publication-title: Technol. Forecast. Soc. Change doi: 10.1016/j.techfore.2022.121520 – volume: 304 start-page: 114135 year: 2021 ident: ref_49 article-title: Detecting formal thought disorder by deep contextualized word representations publication-title: Psychiatry Res. doi: 10.1016/j.psychres.2021.114135 – ident: ref_31 – ident: ref_45 doi: 10.1109/TEM.2022.3140358 – volume: 178 start-page: 110965 year: 2021 ident: ref_4 article-title: Machine learning based success prediction for crowdsourcing software projects publication-title: J. Syst. Softw. doi: 10.1016/j.jss.2021.110965 – volume: 48 start-page: 3131 year: 2021 ident: ref_35 article-title: Context-aware personalized crowdtesting task recommendation publication-title: IEEE Trans. Softw. Eng. doi: 10.1109/TSE.2021.3081171 – ident: ref_51 doi: 10.3115/v1/D14-1162 – volume: 5 start-page: 1 year: 2021 ident: ref_40 article-title: Collaborative Behavior and Winning Challenges in Competitive Software Crowdsourcing publication-title: Proc. ACM Hum. Comput. Interact. doi: 10.1145/3463932 – ident: ref_20 – ident: ref_38 doi: 10.1109/ESEM.2015.7321192 – volume: 14 start-page: 1736 year: 2021 ident: ref_22 article-title: Group task allocation approach for heterogeneous software crowdsourcing tasks publication-title: Peer Peer Netw. Appl. doi: 10.1007/s12083-020-01000-6 – volume: 31 start-page: 1 year: 2022 ident: ref_24 article-title: Context-and Fairness-Aware In-Process Crowdworker Recommendation publication-title: ACM Trans. Softw. Eng. Methodol. TOSEM doi: 10.1145/3487571 – ident: ref_3 doi: 10.1109/CSI-SE.2015.9 – ident: ref_15 doi: 10.1007/978-3-662-46078-8_6 – volume: 126 start-page: 57 year: 2017 ident: ref_2 article-title: A survey of the use of crowdsourcing in software engineering publication-title: J. Syst. Softw. doi: 10.1016/j.jss.2016.09.015 – ident: ref_9 doi: 10.1007/978-3-642-59412-0_38 – ident: ref_47 – ident: ref_37 – ident: ref_52 doi: 10.18653/v1/E17-2068 – volume: 18 start-page: em2162 year: 2022 ident: ref_42 article-title: The effect of the interaction between crowdsourced style and cognitive style on developing research and scientific thinking skills publication-title: EURASIA J. Math. Sci. Technol. Educ. doi: 10.29333/ejmste/12428 – volume: 5 start-page: 18287 year: 2017 ident: ref_5 article-title: Impact of personality on task selection in crowdsourcing software development: A sorting approach publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2747660 – ident: ref_19 doi: 10.1145/2961111.2962594 – volume: 34 start-page: 203 year: 2014 ident: ref_13 article-title: The wisdom of crowds: The potential of online communities as a tool for data analysis publication-title: Technovation doi: 10.1016/j.technovation.2014.01.011 – volume: 63 start-page: 101337 year: 2020 ident: ref_34 article-title: Task recommendation in crowdsourcing systems: A bibliometric analysis publication-title: Technol. Soc. doi: 10.1016/j.techsoc.2020.101337 – ident: ref_14 doi: 10.1109/ICGSE.2016.13 – volume: 130 start-page: 109687 year: 2022 ident: ref_30 article-title: Defining a deep neural network ensemble for identifying fabric colors publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.109687 – ident: ref_25 – ident: ref_50 – volume: 12 start-page: 1329 year: 2012 ident: ref_39 article-title: Incentives for truthful reporting in crowdsourcing publication-title: AAMAS – volume: 27 start-page: 1033 year: 2011 ident: ref_11 article-title: Working for one penny: Understanding why people would like to participate in online tasks with low payment publication-title: Comput. Hum. Behav. doi: 10.1016/j.chb.2010.12.007 – ident: ref_12 – volume: 219 start-page: 106770 year: 2021 ident: ref_23 article-title: Temporal context-aware task recommendation in crowdsourcing systems publication-title: Knowl. Based Syst. doi: 10.1016/j.knosys.2021.106770 – ident: ref_8 doi: 10.1145/2889160.2889225 – volume: 40 start-page: 276 year: 2023 ident: ref_33 article-title: How do different network positions affect crowd members’ success in crowdsourcing challenges? publication-title: J. Prod. Innov. Manag. doi: 10.1111/jpim.12666 – volume: 13 start-page: 1122 year: 2010 ident: ref_7 article-title: Moving the crowd at Threadless: Motivations for participation in a crowdsourcing application publication-title: Inf. Commun. Soc. doi: 10.1080/13691181003624090 – volume: 7 start-page: 694 year: 2013 ident: ref_48 article-title: An evaluation framework for software crowdsourcing publication-title: Front. Comput. Sci. doi: 10.1007/s11704-013-2320-2 – ident: ref_53 doi: 10.3115/1220575.1220620 – ident: ref_27 doi: 10.5220/0011000500003179 – volume: 139 start-page: 484 year: 2022 ident: ref_43 article-title: What determines the successfulness of a crowdsourcing campaign: A study on the relationships between indicators of trustworthiness, popularity, and success publication-title: J. Bus. Res. doi: 10.1016/j.jbusres.2021.09.032 |
| SSID | ssj0000913810 |
| Score | 2.2986076 |
| Snippet | Competitive Crowdsourcing Software Development (CCSD) is popular among academics and industries because of its cost-effectiveness, reliability, and quality.... |
| SourceID | doaj proquest gale crossref |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database |
| StartPage | 489 |
| SubjectTerms | BERT classification Competition Competitive Crowdsourced Software Development (CCSD) Crowdsourcing Deep learning Pilots and pilotage Software Software development Success factors TopCoder Workers |
| SummonAdditionalLinks | – databaseName: ProQuest Publicly Available Content Database dbid: PIMPY link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB7BlgMcgBYqFgryoRIPKarjOLFzQmVFBRJUKxVQOSDL8QMhod2SbOHvM-N4l0UCTlxjH-zM-PO8_A3AIV4qMXguCx1jXcjaq8KWwRc1587GRkSdsucf3qjTU31-3s7z8-ghl1WuMTEB9cj2THXbCMJHfukoYn4kWuIwIiKS5xffCuohRbnW3FDjKuwQ8ZaewM789dv5x03MhTgwdcnHZ3oVevuUJS7Jg5LU5n3rYkr8_X9D6XT1nNz6v4u-DTezCcqOR53ZhSthsQc3togJ92A3H_mBPcm81E_vwKezy9Rdkc17yu6QRNkyshk68n7MAXgcSoGdgaEtzGbJJk_FSb_POkPs_2H7wLZKlu7C-5OX72avitydoXCSVysKyQXqTx5F7PAkc6t9iGXQTSdEV1pZO4W_27e2a1UdvW2cUCpYbqWXznZ1tQ-TxXIR7gETtumk87EqYy0r5WzbcXoi6-ouElvOFJ6tRWNcpi6nDhpfDbowJEezJccpHG4mX4yMHX-e9oJkvJlCNNvpw7L_bPKpNa2KqvERF4t2pUWsa73UuDOLVpHgPkzhMWmIITDABTmb3zTgtohWyxwrzREQ0aWcwsFaQ0xGicH8Uoj7_x5-ANcFGlNj6OcAJqv-MjyEa-776svQP8pq_hMCDA_C priority: 102 providerName: ProQuest |
| Title | Success Prediction of Crowdsourced Projects for Competitive Crowdsourced Software Development |
| URI | https://www.proquest.com/docview/2918577675 https://doaj.org/article/97f76dfb53514a4889d4845ca12420de |
| Volume | 14 |
| WOSCitedRecordID | wos001149314600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: DOA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: PIMPY dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS-RAEC5EPehB1heOL_og-IBgp6eTTo46KLugQ_CFHqTp9AMEGWVm1L-_VZ0oWVjZyx6T1KFTXe-u_gpgD51K8I7LpAghS2TmVGJS75KMc2tCLkIRT8_vLtRwWNzfl1Vn1Bf1hDXwwA3jjksVVO5CnVHLuUFxK50sZGYNOibBnSfri1FPJ5mKNrhMCbqquZDXx7yezoNTypUkDXTvuKCI1P-dPY5O5vwHLLXRITtpVrUMM360AosdzMAVWG61ccIOWsjow1V4vH6Lgw9ZNaaDF2I2ewlsgDm2a8rzDj_FmsuEYZjKBjFcjn1Df1Jdo1n-MGPPOt1Ea3B7fnYz-Jm0gxMSK3l_StUyT6PDgwg1Khk3hfMh9UVeC1GnBrmnkD-uNHWpsuBMboVS3nAjnbQGWb0Os6OXkd8AJkxeS-tCPw2Z7CtryprT7VWb1YGAbHpw9MlLbVtUcRpu8awxuyDG6w7je7D3RfzagGn8neyUNuWLhBCw4wuUC93Khf6XXPRgn7ZUk57igqxprxvgbxHilT5RBUdbhdleD7Y_d123CjzRoiSQLEK62fwfq9mCBYHRUFO72YbZ6fjN78C8fZ8-Tca7MHd6NqyudqMM41P167J6-A1CGfc2 |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFL2qpkjAAmgBMVAgiyIeUoTjOHGyQKgMVB11OhqpBZUFMo4fCAlNSjJlxE_xjdybxzBIwK4LtrEXdnJyn_Y5ALvoVLyzTISZ90koEitDHTkbJowZ7VPus6Z7_m4ip9Ps9DSfbcCP_i4MHavsbWJjqG1pqEb-nOfEWkTUIy_PvoakGkXd1V5Co4XFofu-xJStfjF-jd_3Eef7b05GB2GnKhAaweIFlZIc6Wp77gtEINOZdT5yWVpwXkRaJEbmUWxzXeQy8VanhkvpNNPCCqMLUolAk78pEOzZADZn46PZ-1VVh1g2s4i1FwHjOGfUh44oRxMkJL_m-hqFgL_5gca57V__317LDbjWhdHBXov7Ldhw8224ukauuA1bndmqgycdt_bTm_Dh-LxRiAxmFXWoCJVB6YNRVS5t28ewONQUp-oA4_lg1OQVzQGr32cdo_9a6soFa8eubsHbC9n0bRjMy7m7AwHXaSGM9XHkExFLo_OC0TVfkxSeGH-G8Kz_-Mp09OukAvJFYRpGSFFrSBnC7mryWcs68udprwhFqylEFd48KKtPqrM8KpdeptbjYjE21mivcysy3JnGyI4z64bwmDCoyKDhgozu7mXgtogaTO3JjKFRx7R4CDs9BlVn6Wr1C4B3_z38EC4fnBxN1GQ8PbwHVzgGh20pawcGi-rc3YdL5tvic1096H6qAD5eNGB_AuUoYnw |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFL2qpgjBAmgBMVAgiyIeUlTHceJkgVCZMmLUMopUQO0CBccPhIQmJTNlxK_xddybOMMgAbsu2CZe2MnxuS_7XIBdNCrOGibCzLkkFImRoYqsCRPGtHIpd1lbPX9_JKfT7OQkLzbgR38Xho5V9pzYErWpNeXI93hOqkUkPbLn_LGI4mD84uxrSB2kqNLat9PoIHJovy8xfJs_nxzgv37E-fjV29Hr0HcYCLVg8YLSSpZ6bDvuKkQjU5mxLrJZWnFeRUokWuZRbHJV5TJxRqWaS2kVU8IIrSrqGIH0v4kuuRAD2Cwmb4rTVYaHFDeziHWXAuM4Z1STjiheE9RUfs0Mtt0C_mYTWkM3vv4_f6IbcM2718F-tx-2YMPOtuHqmujiNmx5OpsHT7zm9tOb8OH4vO0cGRQNVa4IrUHtglFTL01X3zD4qk1azQP084NRG2-0B69-H3WMdm2pGhusHce6Be8uZNG3YTCrZ_YOBFylldDGxZFLRCy1yitG1391UjlSAhrCsx4Ipfay7NQd5EuJ4RmhplxDzRB2V4PPOjWSPw97SYhaDSEJ8fZB3XwqPSOVuXQyNQ4niz6zQh7PjchwZQo9Ps6MHcJjwmNJRIcT0srf18BlkWRYuS8zhmSP4fIQdno8lp4B5-UvMN799-uHcBlRWh5Npof34ApHn7HLcO3AYNGc2_twSX9bfJ43D_z-CuDjReP1J0p8az0 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Success+Prediction+of+Crowdsourced+Projects+for+Competitive+Crowdsourced+Software+Development&rft.jtitle=Applied+sciences&rft.au=Tahir+Rashid&rft.au=Shumaila+Anwar&rft.au=Muhammad+Arfan+Jaffar&rft.au=Hanadi+Hakami&rft.date=2024-01-01&rft.pub=MDPI+AG&rft.eissn=2076-3417&rft.volume=14&rft.issue=2&rft.spage=489&rft_id=info:doi/10.3390%2Fapp14020489&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_97f76dfb53514a4889d4845ca12420de |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2076-3417&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2076-3417&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2076-3417&client=summon |