Confusions that I had seen in Foundations 2. Claims of successful standardization were often highly exaggerated at first, but gradually, variances between printer models etc. For university students, it built a bridge between their programming knowledge and their testing lessons.
An oracle can be a useful component of a bug report. It provided no positive inspiration for doing good measurement and very little constructive guidance.
The next dozen years taught me some humility. If the systematic approach is not feasible too hard or too expensivewhat manual methods for discovering the information are available, how effective are they, how expensive are they and how thorough a look are we willing to pay for?
The context-driven testing community and the broader software engineering community made remarkably little progress on improving software-related measurement. Cover essentially the same material. Yes, there are structural coverage measures statement coverage, branch coverage, subpath coverage, multicondition coverage, etc.
Integrate more tightly with the preceding material on the many types of coverage. I had generally positive results teaching this in Foundations 1. Introduces basic measurement theory Alerts people to the risks associated with surrogate measures, weak validity, and abusive use of metrics Explains measurement distortion and dysfunction Introduces basic qualitative measurement concepts Lays out the difficulties of doing good measurement, peeks at the state of metrics in some other fields not better than oursand presents a more positive view on ways to gain useful information from imperfect statistics.
Context-driven testing requires the tester to adapt to the context—or leave. Here are my notes: He recharacterized them as oracle heuristics or heuristic oracles years later.
I wrote about this in Contexts differ: We should look at the weakly-managed device variation in mobile phones as a big testing problem today, that we will have to develop testing strategies to deal with, while recognizing that those strategies will become obsolete as the operating systems mature.
However, we will teach it as its own topic. If you know a lot about actuarial math and about the culture of actuaries, you might be able to provide very valuable services to companies that develop software for actuaries.
Oracles are heuristic An oracle is a mechanism for determining whether a program passed or failed a test. For mobile apps, Knott makes a persuasive case that the pyramid has to be inverted more system-level testing.
Complete testing is impossible This lecture teaches students that it is impossible to completely test a program. We will focus on the problem that all oracles are incomplete, then transition into the questions: And at that point, we teach you to subdivide the world into types of test targets and to think in terms of many test coverages.
These confusions had several impacts. Some students paid so much attention to this material that they learned it adequately, but missed just about everything else. We have to fundamentally rework this material.
As pieceworking gets more popular, I think the gap will grow wider. Create a series of supplementary videos that describe data representation and control structures. Thinking of it this way, oracle diversity is at least as much a matter of disciplined test design as it is a basis for exploration.
The course itself will go over this lightly.Legacy in the Making: Building a Long-Term Brand to Stand Out in a Short-Term World. Mark Miller, Lucas Conley, Yvon Chouinard.
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This creates what we consider a stable release, which we .Download