Biblio

Filters: Keyword is Programmer productivity  [Clear All Filters]
2016-12-06
Michael Coblenz, Joshua Sunshine, Jonathan Aldrich, Brad Myers, Sam Weber, Forrest Shull.  2016.  Exploring Language Support for Immutability. ICSE '16 Proceedings of the 38th International Conference on Software Engineering.

Programming languages can restrict state change by preventing it entirely (immutability) or by restricting which clients may modify state (read-only restrictions). The benefits of immutability and read-only restrictions in software structures have been long-argued by practicing software engineers, researchers, and programming language designers. However, there are many proposals for language mechanisms for restricting state change, with a remarkable diversity of techniques and goals, and there is little empirical data regarding what practicing software engineers want in their tools and what would benefit them. We systematized the large collection of techniques used by programming languages to help programmers prevent undesired changes in state. We interviewed expert software engineers to discover their expectations and requirements, and found that important requirements, such as expressing immutability constraints, were not reflected in features available in the languages participants used. The interview results informed our design of a new language extension for specifying immutability in Java. Through an iterative, participatory design process, we created a tool that reflects requirements from both our interviews and the research literature.

2016-12-07
Michael Coblenz, Jonathan Aldrich, Brad Myers, Joshua Sunshine.  2014.  Considering Productivity Effects of Explicit Type Declarations. PLATEAU '14 Proceedings of the 5th Workshop on Evaluation and Usability of Programming Languages and Tools.

Static types may be used both by the language implementation and directly by the user as documentation. Though much existing work focuses primarily on the implications of static types on the semantics of programs, relatively little work considers the impact on usability that static types provide. Though the omission of static type information may decrease program length and thereby improve readability, it may also decrease readability because users must then frequently derive type information manually while reading programs. As type inference becomes more popular in languages that are in widespread use, it is important to consider whether the adoption of type inference may impact productivity of developers.