Abstract
In research, automatic service composition (ASC) has been a widely studied academic subject for many years. However, this field still contains topics and issues that remain unidentified or uninvestigated. In this paper, we focus on one such unsolved problem of the ASC, elaborating on a current effort and future plan.
This recognized problem is caused by the difference between the formation of service descriptions used by human composers and that used by ASC approaches. In practice, engineers are used to write various development-related documents in natural language, such as their requirement specifications and software component descriptions. However, an exhaustive survey found that most existing ASC studies are assumed to take their required service descriptions in a tuple-based format. Although this difference and problem in theory can be sufficiently addressed using manual processing techniques (e.g., human transformation or extraction), we consider such human intervention to be inefficient, costly, and, most importantly, harmful to the level of automation of ASC. Thus, this study develops an automated solution to this problem.
We first introduce some necessary background knowledge and foundation so that the targeted problem can be fully understood and motivated. Then, the specific problem to be studied is clearly defined and exemplified along with a detailed explanation. Finally, the three key components to explore and address this research problem (dataset, approach, and evaluation) are discussed in detail, including the current work of the authors and proposals for future research.
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Acknowledgment
This paper was partially sponsored by the Ministry of Science and Technology (Taiwan) under Grants Most111-2222-E-152-001-MY3 and Most110-2221-E-001-006-MY2.
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Syu, Y., Wang, CM. (2023). A Gap Between Automated Service Composition Research and Software Engineering Development Practice: Service Descriptions. In: Zhang, Y., Zhang, LJ. (eds) Web Services – ICWS 2023. ICWS 2023. Lecture Notes in Computer Science, vol 14209. Springer, Cham. https://doi.org/10.1007/978-3-031-44836-2_2
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