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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: DIFFBASE: A Differential Factbase for Effective Software Evolution Management |
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Identification Number: |
doi:10.21979/N9/JKYYUD |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2021-07-10 |
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Version: |
1 |
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Bibliographic Citation: |
Wu, Xiuheng; Zhu, Chenguang; Li, Yi, 2021, "Replication Data for: DIFFBASE: A Differential Factbase for Effective Software Evolution Management", https://doi.org/10.21979/N9/JKYYUD, DR-NTU (Data), V1 |
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Citation |
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Title: |
Replication Data for: DIFFBASE: A Differential Factbase for Effective Software Evolution Management |
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Identification Number: |
doi:10.21979/N9/JKYYUD |
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Authoring Entity: |
Wu, Xiuheng (Nanyang Technological University) |
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Zhu, Chenguang (The University of Texas at Austin) |
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Li, Yi (Nanyang Technological University) |
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Software used in Production: |
Docker |
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Software used in Production: |
Docker Compose |
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Grant Number: |
under its Academic Research Fund Tier 2 MOE2019-T2-1-040 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Li, Yi |
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Depositor: |
Li, Yi |
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Date of Deposit: |
2021-07-10 |
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Holdings Information: |
https://doi.org/10.21979/N9/JKYYUD |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, Software evolution, Software maintenance, Program facts |
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Abstract: |
Numerous tools and techniques have been developed to extract and analyze information from software development artifacts. Yet, there is a lack of effective method to process, store, and exchange information among different analyses. DiffBase provides a uniform exchangeable representation supporting efficient querying and manipulation, based on the existing concept of program facts. We consider program changes as first-class objects, which establish links between intra-version facts of single program snapshots and provide insights on how certain artifacts evolve over time via inter-version facts. DiffBase includes a series of differential fact extractors and multiple software evolution management tasks have been implemented with DiffBase, demonstrating its usefulness and efficiency. |
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Kind of Data: |
Diffbase tool and dataset |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1145/3468264.3468605 |
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Bibliographic Citation: |
Wu, X., Zhu, C., & Li, Y. (2021, August). DIFFBASE: A Differential Factbase for Effective Software Evolution Management. In Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’21), August 23–28, 2021, Athens, Greece. ACM, New York, NY, USA. |
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Label: |
diffbase.tar.gz |
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Text: |
Replication package for Diffbase |
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Notes: |
application/x-gzip |