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24 Pages
EC24b-Requirements Elaboration For CSCI 577B
Course: CSCI 577b, Spring 2008School: USC
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Elaboration Ali UniversityofSouthernCalifornia CenterforSystemsandSoftwareEngineering Requirements Afzal Malik, USC-CSSE alimalik@usc.edu CSCI 577B 01/18/09 USCCSSE 1 UniversityofSouthernCalifornia CenterforSystemsandSoftwareEngineering Outline Motivation Empirical study Methodology Results Challenge References Assignments 01/18/09 USCCSSE 2 UniversityofSouthernCalifornia...
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Elaboration
Ali UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Requirements Afzal Malik, USC-CSSE alimalik@usc.edu CSCI 577B
01/18/09
USCCSSE
1
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Outline
Motivation Empirical study Methodology Results Challenge References Assignments
01/18/09
USCCSSE
2
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Motivation
Cost estimation - GIGO
Cost Model
01/18/09
USCCSSE
3
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Research Objectives
Early estimation
Use goals
Phenomenon of Requirements Elaboration
High-level Goals Low-level Requirements
Characterize cause of variation in elaboration ratios
01/18/09
USCCSSE
4
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Requirements Elaboration Levels
Use Case Level of Detail Scale (Cockburn, 2001)
01/18/09 USCCSSE 5
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Research Approach
Related previous work
Agent-based approach (Letier and van Lamsweerde, 2002) GBRAM (Antn, 1996)
How is our work different?
Focus on the process itself Obtain detailed project data Analyze causes of variation
01/18/09
USCCSSE
6
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Empirical Study*
SE I (Fall) and SE II (Spring) 2004 2006 20 real-client, MS-student, team projects Process: MBASE/RUP Project selection
Custom development Complete documentation
*A. Malik, B. Boehm, An Empirical Study of Requirements Elaboration, Submitted in 16th IEEE International Requirements Engineering Conference.
01/18/09 USCCSSE 7
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Empirical Study (2)
S# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 01/18/09 Year 2004 2004 2004 2005 2005 2005 2005 2005 2005 2005 2006 2006 2006 2006 2006 2006 2006 2006 2006 2006 Project Online Bibliographies on Chinese Religions in Western Languages Data Mining of Digital Library Usage Data Data Mining from Report Files Data Mining PubMed Results USC Football Recruiting Database Code Generator Template based Develop a Web Based XML Editing Tool EBay Notification System Rule-based Editor CodeCount Product Line with XML and C++ California Science Center Newsletter System California Science Center Event RSVP System USC Diploma Order/ Tracking Database System USC Civic and Community Relations (CCR) web application Student's academic progress web application New Economics for Woman (NEW) Web Portal for USC Electronic Resources Early Medieval East Asian Tombs USC CONIPMO An Eclipse Plug-in for Use Case Authoring USCCSSE Type Web-based database Data mining Data mining Data mining Web-based database Stand-alone application Web-based application Stand-alone application GUI Code Counter Tool Web-based database Web-based database Web-based database Web-based database Web-based database Web-based database Web-based GUI Web-based database Cost model Stand-alone application 8
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Project Process
LCO: Life Cycle Objectives LCA: Life Cycle Architecture OCD: Operational Concept Description SSRD: System and Software Requirements Definition SSAD: System and Software Architecture Description LCP: Life Cycle Plan FRD: Feasibility Rationale Description ABC: Top-level version of document ABC
01/18/09
USCCSSE
9
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Methodology
Relationship between capability goals and capability requirements Documents and milestones considered
LCO-OCD*: Capability goals at the end of the Inception phase IOC-SSRD#: Capability requirements at the end of the Construction phase
7 metrics
4 direct 3 derived
* Life Cycle Objectives Operational Concept Description # Initial Operational Capability System and Software Requirements Definition
01/18/09 USCCSSE 10
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Metrics
S# 1 2 3 4 5 6 7 Metric NCGI NCGR NCRD NCRN NCGA NCRA EF Description Number of initial capability goals Number of capability goals removed Number of delivered capability requirements Number of new capability requirements Number of adjusted capability goals Number of adjusted capability requirements Elaboration Factor
01/18/09
USCCSSE
11
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Derived Metrics
NCGA = NCGI NCGR NCRA = NCRD NCRN EF = NCRA NCGA
01/18/09
USCCSSE
12
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Results / of Empirical Study
S# 10 19 3 16 7 1 8 9 2 20 17 6 4 15 14 18 5 13 12 11 01/18/09 NCGI 14 8 3 5 10 12 10 7 3 5 7 4 5 5 3 6 4 2 6 8 NCGR 2 1 1 2 5 3 2 4 0 2 1 1 1 1 0 0 1 0 2 5 NCRD 10 8 7 3 6 12 12 8 9 7 21 7 14 11 10 20 12 11 19 16 NCRN 1 2 5 0 1 2 2 4 4 2 10 1 6 3 3 5 3 3 2 3 USCCSSE NCGA 12 7 2 3 5 9 8 3 3 3 6 3 4 4 3 6 3 2 4 3 NCRA 9 6 2 3 5 10 10 4 5 5 11 6 8 8 7 15 9 8 17 13 EF 0.75 0.86 1 1 1 1.11 1.25 1.33 1.67 1.67 1.83 2 2 2 2.33 2.5 3 4 4.25 4.33 13 High Medium Low Group Outliers
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Results of Empirical Study (2)
18 16 14 12 10
NCRA
8 6
(2)
(2)
4 2 0 0 1 2 3 4 5
NCGA
(2): 2 data points
6
7
8
9
10
01/18/09
USCCSSE
14
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Groupings
20 y = 3.1446x R2 = 0.3262 Low 18 Medium High 16
14 y = 1.8737x 12 R2 = 0.9447 y = 1.1458x R2 = 0.9688
NCR A
10 (2)
8
6 (2) 4
2
0 0 1 2 3 4 5
NCGA
6
7
8
9
10
01/18/09
USCCSSE
15
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Group Definition
Project groups based on EF ranges
Outliers
Low
Medium
High
0
1
1.5 EF ranges defining groups
2
EF
01/18/09
USCCSSE
16
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Challenge
Can we use a projects EF value to predict its understandability? Example mapping
Low Well-understood application (WUA) Medium Intermediate-clarity application (ICA) High Vaguely-understood application (VUA)
01/18/09
?
USCCSSE
17
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Understandability (UNDR)
Q1: Can it be quantified? A1: Possibly Q2: How? A2: Using COCOMO II cost drivers Q3: Which ones? A3: PREC, RESL; CPLX; ACAP, PCAP, APEX, PLEX, LTEX
01/18/09
USCCSSE
18
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
COCOMO II Drivers
Scale factors: PREC, RESL Product factor: CPLX Personnel factors: ACAP, PCAP, APEX, PLEX, LTEX Relationship with UNDR
Positive: high value indicates better understanding Negative: high value indicates worse understanding
01/18/09 USCCSSE 19
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Quantifying UNDR
Weighted sum approach UNDR = w1*PREC + w2*RESL - w3*CPLX + w4*ACAP + w5*PCAP + w6*APEX + w7*PLEX + w8*LTEX Weights
Range: 1 <= w <= 5
Ratings
VL = 1; L = 2; N = 3; H = 4; VH = 5; XH = 6
01/18/09
USCCSSE
20
UniversityofSouthernCalifornia
CenterforSystemsandSoftwareEngineering
Weights for CSCI 577B
Cost Driver PREC RESL CPLX ACAP PCAP APEX PLEX LTEX
01/18/09
...
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