1 cost6 An Experiment Measuring the Effects of Personal Software Process (PSP) Training Prechelt and Unger IEEE TOSE May 00

2 cost6 Output reliability

3 cost6 Surprising data (no digit)

4 cost6 Effort estimation error

5 cost6 Estimated/actual productivity

6 cost6 Productivity

7 cost6 Productivity

8 cost6 effort

9 cost6 An Empirical Study Using Task Assignment Patterns to Improve the Accuracy of Software Effort Estimation Smith, Hale, Parrish IEEE TOSE March 01

10 cost6 Goal This paper reports the results of an empirical study exploring the impact of four task assignment factors, team size, concurrency, intensity, and fragmentation, on software development effort. By adding these factors to the Intermediate COCOMO I model (hereafter simply referred to as COCOMO), its' estimates are improved significantly for the study project.

11 cost6 What is basic formula? E is an effort estimate, expressed in man-months (MM). EDSI refers to the number of Estimated Delivered Source Instructions. The parameters a and b are determined by the application complexity mode; both of these values increase with application complexity. The effort adjustment factor, EAF, is equal to 1 for the basic level and equals the product of 15 cost factors for the intermediate and advanced levels.

12 cost6 Effort Factors Based on a review of prior research [3], [6], [8], [12], four module assignment factors, team size, concurrency, intensity, and fragmentation, were identified as potentially significant determinants of software development effort.

13 cost6 Model of Process

14 cost6 TEAM

15 cost6 INTS

16 cost6 CONC

17 cost6 PFRAG

18 cost6 Models

19 cost6 Models

20 cost6 Experiment

21 cost6 Model Comparison

22 cost6 Impact of work asgmnt

23 cost6 For Tues 9/24 u A Reference Model for Requirements and Specifications u Carl Gunter, Elsa Gunter, Michael Jackson and Pamela Zave u IEEE Software, May/June2000 pp37-43