Ramadhan Putra, Kurnia and Catur Candra, Muhammad Zuhri (2019) Cromosom: Aplikasi Crowdsourced Software Engineering Menggunakan Komponen Rekomendasi Task Berbasis Media Sosial. Rekayasa Hijau: Jurnal Teknologi Ramah Lingkungan, 3 (3). p. 217. ISSN ISSN 2550-1070 (p) dan ISSN 2579-4264 (e)

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Abstract

The concept of crowdsourcing can be utilized in the field of software engineering known as Crowdsourced Software Engineering (CSE). CSE is used to address tasks related to software, such as design, implementation, and testing of software and bug fixes. Currently, a common problem that occurs with CSE applications is that workers spend time finding relevant tasks according to their expertise and requester is difficult to choose workers who can be trusted to do the task. The recommendation system component can be integrated into CSE applications that are believed to be able to overcome these problems. Some existing research on the integration of recommendation system components in CSE applications is only to handle task recommendations and not consider the trustworthiness of workers who will be working on tasks. Whereas in this study, the integration of recommendation system components in addition to being able to help recommend tasks to workers also rank workers based on the trustworthiness of the workers so that they can be considered for the requester in choosing workers who will do the task. The approach proposed in this study is a combination of content-based and individual-based approaches. Content-based approach to handle the matching process between the skill requirements needed to do the task and the qualifications of the worker who will be working on the task. While the individual-based approach to handle the process of calculating the value of social profiles in generating trustworthiness from workers. Implementation is done by developing a CSE application known as a Cromosom, which is integrated with the recommendation system component to help recommend tasks to workers and rank workers based on the trustworthiness of the worker. From the results of the functionality testing, the Cromosom application can help workers find more relevant tasks according to their expertise, and help requester in choosing workers who have trustworthiness to do the task.

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