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| Content Provider | IET Digital Library |
|---|---|
| Author | Shen, YuSong Yang, Ye Wang, Yong Chang, DeLin |
| Abstract | In software crowdsourcing, task prize is a primary incentive for engaging crowd developers. One of the main challenges in crowdsourcing task pricing is to determine appropriate prizes in order to attract qualified workers. Few studies proposed methods to address this challenge. However, they are either too theoretical or too restricted to be applied for early crowdsourcing planning. In this study, we propose a novel approach, i.e., PTMA, to support early task pricing in software crowdsourcing from textual task requirements. PTMA consists of three phases, namely data pre-processing, topic extraction, and topic-based task pricing analysis, integrating 6 machine learning algorithms and 3 analogy-based models for topic-based pricing analysis. PTMA is evaluated using data from 2016 software crowdsourcing tasks extracted from TopCoder, the largest software crowdsourcing platform. The results show that: 1) textual requirement information can aid early task pricing in software crowdsourcing; 2) the best predictor in PTMA, based on logistic regression, achieves an accuracy of 88.3% in Pred (30); and 3) PTMA outperforms the existing baseline models by 9% in Pred (30). PTMA greatly simplifies the pricing process by only leveraging textual task description as inputs, and can achieve better prediction accuracy in making task pricing decisions. |
| Starting Page | 759 |
| Ending Page | 767 |
| Page Count | 9 |
| ISSN | 17518806 |
| Volume Number | 14 |
| e-ISSN | 17518814 |
| Issue Number | Issue 7, Dec (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-sen.2019.0168 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-sen/14/7 |
| Journal | IET Software |
| Publisher Date | 2020-11-26 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 2016 Software Crowdsourcing Tasks Analogy-based Model Crowdsourcing Planning Decision Making Existing Baseline Model Knowledge Engineering Technique Largest Software Crowdsourcing Platform Learning in AI Pricing Pricing Approach Pricing Process PTMA Approach Reduced Task Granularity Regression Analysis Software Cost Estimation Software Crowdsourcing Task Prices Software Crowdsourcing Task Pricing Software Engineering Software Management Statistics Task Pricing Decision Text Analysis Textual Task Description Textual Task Requirement Documents Textual Task Requirement Information Topic Extraction Topic Model Analysis Topic-based Pricing Analysis Topic-based Task Pricing Analysis Traditional Software Cost Model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design |
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