From the spreadsheet, you should randomly select the data of 7 out of the 14 students, and computer the mean time taken to write each version of each task, giving you 12 means (3 tasks × 4 versions = 12). Your subsequent curve fifitting task and your report should be based on these 12 data points.
You should choose any two of the following four models and use them to fifit curves to the
completion times for each task (i.e., for each of your chosen models, there are only 4 data
points available for curve fifitting, and you need to repeat this curve fifitting process for
tasks P1LA, P2LA, and P1LB).
The four models available are functions of time (t), and predict effffort (in person-minutes),
and have parameters a, b and c which need to be fifitted.
Here, t = 0, 1, 2 or 3, and denotes each of the four attempts to complete a task; “Effffort” is the person-time in minutes required to complete a task. You will need to impose the constraints that a > 0, b > 0, and c > 0, and you may need to apply a stronger constraint
on parameter c.
Write a report which uses the data and your fifitted models to discuss the following issues, and answer the questions raised.
Discuss what software you used for curve fifitting.
2• Discuss the extent to which in solving one project in a language improves performance in solving another project in the same language.
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