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Team A found 342 errors during the software engineering process prior to release. Team B found 184 errors. What additional measures would have to be made for projects A and B to determine which of the teams eliminated errors more efficiently? What metrics would you propose to help in making the determination? What historical data might be useful?

Answer :

kendrich

Answer:

see explaination

Explanation:

The "size" or "functionality" of the project would need to be determined. Errors/FP would provide a normalized measure.

A metric such as DRE would provide an indication of the efficiency of SQA within both teams' software process.

The additional measures that would have to be made for projects A and B to determine which of the teams eliminated errors more efficiently are;

The "size" or "functionality" of the project would need to be determined. Errors/FP would provide a normalized measure.

The metrics I would you propose to help in making the determination is; DRE

What is software engineering process?

There are two metrics in software engineering process namely process metric and project metric.

Process metric is used to assess the activities that are used to engineer and build computer software while project metric is used to assess the status of a software project itself.

Now, many metrics in software engineering are indirect because software itself is not tangible where direct dimensional or physical measures can be applied.

Thus, the additional measures to be taken for this process are The "size" or "functionality" of the project would need to be determined. Errors/FP would provide a normalized measure.

The metric i would propose in making the determination is DRE because it would provide an indication of the efficiency of SQA within both teams' software process.

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