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Abstract
Performance engineering is an important activity regardless of application domain, as critical for server software as for mobile applications. This activity, however, demands advanced, specialized skills that require a significant time investment to acquire, and are therefore absent from most programmers' toolboxes.
My thesis is that tool support can make performance engineering both accessible and time-efficient for non-expert programmers. To support this claim, this dissertation introduces two novel families of performance tools that are designed specifically to provide actionable information to programmers: optimization coaches and feature-specific profilers. This dissertation presents blueprints for building tools in these families, and provides examples from tools that I have built.