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The projected attractiveness of directly observed therapy was insensitive to plausible changes in most model variables, including the probabilities of vertical HIV transmission, prematurity, and emergency and elective Caesarean section; obstetrical costs; and future costs associated with HIV infection and prematurity.
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The conclusion is that the project attractiveness varies according to license schema consistently.
In the paper "Changes in free and open source software licenses: managerial interventions and variations on project attractiveness," [59] Carlos Denner Jr. analyzes the relationship between changes in licensing terms and projects' attractiveness.
His results indicate that the legal terms in the license are associated with project attractiveness, however variations in attractiveness after a license intervention are not symmetrical.
As for a general conclusion, the results indicate that the legal terms specified in the license are indeed associated with project attractiveness, as an aggregated measure.
The reorganized dataset with mean month-projects attractiveness per licensing schema was subjected to analysis (see Table 4 for descriptive statistics).
A dataset on these projects' type of changes was assembled to enable a descriptive and exploratory analysis of the types of license interventions observed over a period of almost four years anchored on projects' attractiveness.
In particular, Ortu et al. (2015c) analyzed 14 open source projects on the Apache Issue Tracking in Jira from 2002 to 2013 to understand the impact of politeness on productivity and project attractiveness.
In general, the results here reported support the current literature knowledge that the restrictions imposed by the license on the source code distribution are associated with market success vis-a-vis project attractiveness, but they also suggest that the state-of-the-science is superficial in terms of what is known about why these differences in attractiveness can be observed.
By looking at the interventions with A (the none choice) as target in Table 5, it is noteworthy that every time such change was made, the average project attractiveness decreased (a number smaller than one indicates the attractiveness ratio of after/before the change is on average pushed down).
This approach aims to uncover whether FSP managers change legal restrictions over their projects life-cycle (research question #1-RQ1) and evaluate whether the success of FSP is associated with the legal terms change through a before-and-after statistical analysis of a managerial intellectual property intervention (IPI) on project attractiveness (research question #2-RQ2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com