Microsoft Technology Licensing, LLC

Ankit Asthana

Ten H Tzen

Patrick W Sathyanathan

Wenlei He

Adrian Militaru

Terry Jack Mahaffey

Bogdan Ionut Mihalcea

Ion Todirel

Olga Arkhipova

Shishir Sharma

Marian Luparu

Andrew Brian Hall

Ayman Baligh Shoukry

Ramkumar Ramesh

Changqing (Charles) Fu

Changqing Fu

A software development system is described that enables a user that is debugging source code to select for unoptimizing a function within the source code and to cause an edit and continue operation to be performed that produces a compiled version of the source code in which the selected function is unoptimized, while other functions remain optimized. Embodiments also enable a user to select a previously unoptimized function within the source code for re-optimizing and to cause an edit and continue operation to be performed that produces a compiled version of the source code in which the function is re-optimized. Still further embodiments enable a user to select within source code that is being developed a function for which optimization should be prevented and to cause a compiled representation of the source code to be built in which the selected function is unoptimized, while other functions are optimized.

Using edit and continue to dynamically set and unset optimizations in source code while debugging

Methods, systems, and computer program products are provided that enable incremental compilation of source code. Attributes of an intermediate language (IL) representation and a compiled representation of a source code are stored. Modified source code that is a revised version of the first source code is received. An IL representation of the modified source code is generated. Attributes of the revised intermediate IL and the stored attributes of the IL representation are compared to determine a first set of functions changed in the modified source code. A second set of functions in the first source code is determined that includes functions affected the determined first set of functions. The first and second sets of functions are compiled to generate a set of compiled functions. Compiled versions of the first and second sets are replaced in the compiled representation of the first source code with the set of compiled functions.

Incremental whole program compilation of code

Methods, systems, and computer program products are provided that enable a portion of code to be marked in source code to disable compilation optimizations for the marked portion of code, while the rest of the source code is compiled with optimizations. In this manner, edit-and-continue debugging may be performed on the compiled source code in an enhanced manner. Modifications made to the marked source code (as well as the rest of the source code) may be compiled in an incremental manner, such that the portions of the source code affected by the modifications are compiled, while unaffected portions of the source code are not recompiled.

Techniques for edit-and-continue and enhanced optimized debugging on optimized code

Methods, systems, apparatuses, and computer program products are described that enable local builds to be substantially equivalent with remote builds. In embodiments, local build and design-time inputs and/or outputs of a local build environment hosted on a local computing device are projected to remote build and design-time inputs and/or outputs of a remote build environment hosted on a remote computing device. In further embodiments, remote build and design-time inputs and/or outputs of the remote build environment are projected to local build and design time inputs and/or outputs of the local build environment. In still further embodiments, first build and design-time inputs and/or outputs of a first build environment hosted on a computing device are projected to second build and design-time inputs and/or outputs of a second build environment hosted on the same computing device.

Projection of build and design-time inputs and outputs between different build environments

Profile guided optimization (PGO) in the presence of stale profile data as described herein can be based on path profiling, whereby different paths through a program's call graph are uniquely identified. Stale profile data is data collected in a training run of a previous version of the program. Profile data can be collected along these paths and optimization decisions can be made using the collected data. The paths can be numbered using an algorithm that assigns path increments to all the callees of a function. The path increment assignments (which can be stored in the profile database) can be used to locate the profile data for that path and to make corresponding optimization decisions. PGO optimizations along call graph paths involving edited functions can be performed.

Profile guided optimization in the presence of stale profile data

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Redmond, WA, United States of America

Ankit Asthana