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a76c0abe2b7b1b79e70f0073f43c3b44-AuthorFeedback.pdf

Neural Information Processing Systems

The key observation is that the success4 of the proposed method depends solely on the intrinsic property of the data manifold instead of specific sampling5 procedures (Theorem 4.2),whichmakesourextension non-trivial. About the curvature estimation method: we apologize for not including enough details in the description of the15 proposed curvature estimation method. When estimating the curvature at some pointp, our method requires (Sect. What is the dimension of the NRPCA space, is it two? Is the neighborhood patch defined with respect to Xi or Xi?







Empirical Assessment of the Perception of Software Product Line Engineering by an SME before Migrating its Code Base

Georges, Thomas, Huchard, Marianne, König, Mélanie, Nebut, Clémentine, Tibermacine, Chouki

arXiv.org Artificial Intelligence

Migrating a set of software variants into a software product line (SPL) is an expensive and potentially challenging endeavor. Indeed, SPL engineering can significantly impact a company's development process and often requires changes to established developer practices. The work presented in this paper stems from a collaboration with a Small and Medium-sized Enterprise (SME) that decided to migrate its existing code base into an SPL. In this study, we conducted an in-depth evaluation of the company's current development processes and practices, as well as the anticipated benefits and risks associated with the migration. Key stakeholders involved in software development participated in this evaluation to provide insight into their perceptions of the migration and their potential resistance to change. This paper describes the design of the interviews conducted with these stakeholders and presents an analysis of the results. Among the qualitative findings, we observed that all participants, regardless of their role in the development process, identified benefits of the migration relevant to their own activities. Furthermore, our results suggest that an effective risk mitigation strategy involves keeping stakeholders informed and engaged throughout the process, preserving as many good practices as possible, and actively involving them in the migration to ensure a smooth transition and minimize potential challenges.