Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing · 2008 · 49 citations · 22 references
ComputingComputer ScienceGender StudiesGenderIndividual DifferencesSoftware EngineeringEnd-user ProgrammingGender DifferencesSoftware TestingUsability TestingUser RequirementsEnd-user DebuggingGender Bias In ComputingGender Effects On AcceptanceWomen In ComputingWomen In Human-computer InteractionWomen In Information SystemsWomen In Software Development
Recent research has begun to report that female end-user programmers are often more reluctant than males to employ features that are useful for testing and debugging. These earlier findings suggest that, unless such features can be changed in some appropriate way, there are likely to be important gender differences in end-user programmerspsila benefits from these features. In this paper, we compare end-user programmerspsila feature usage in an environment that supports end-user debugging, against an extension of the same environment with two features designed to help ameliorate the effects of low self-efficacy. Our results show ways in which these features affect female versus male enduser programmerspsila self-efficacy, attitudes, usage of testing and debugging features, and performance.
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Self-efficacy: Toward a unifying theory of behavioral change.
Psychological Review · 1977 · 42.6K citations · Full text