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We extracted a requirements quality factors ontology from existing requirements quality literature in previous research. This ontology revealed that several artifacts (data sets and tools/implementations) are unavailable, hindering progress in the research domain. In the project based on this replication package, we attempted to recover lost artifacts by requesting authors to disclose their artifacts according to open science principles. This repository contains both the process description, tools for conduction of the recovery, the results, and the evaluation thereof.
{"references": ["Frattini, J., Montgomery, L., Fucci, D., Fischbach, J., Unterkalmsteiner, M., Mendez, D. (2023). Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts. In REFSQ Workshops."]}
open science, availability, artifacts, data sets, requirements quality
open science, availability, artifacts, data sets, requirements quality
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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