Lines of Code (LOC): This is a a formal method to measure size. Source lines of Code is estimated with Physical and Logical lines . To avoid significant variation in estimates , comparison and previous experience factors need to be factored.and clear guideline must be laid out for the organization.
IFPUG FPA: To measure size of business applications. Introduces complexity factor for size defined as
function of input
output
query
external input file and
internal logical file.
Mark II FPA: Proposed and developed by Mark Simons
useful for finging size for functionality in real time systems where transactions have embedded data
COSMIC Full Function Point (FFP):
Proposed in 1999, compliant to ISO 14143.
Applicable for estimating business applications that have data rich processing where complexity is determined by capability to handle large chunks of data and real time applications where functionality is expressed in terms of logics and algorithms.
Quick Function Point (QFP): Derived out of FPA and uses expert judgment.
Mostly useful for arriving at a ballpark estimate for budgetary and marketing purposes or where go-no go decision is required during project selection process.
Object Points: Best suited for estimating customizations. Based on count of raw objects, complexity of each object and weighted points.
COCOMO 2.0: Based on COCOMO 81 which was developed by Barry Boehme.
Model is based on the motivation of
software reuse,
application generators,
economies or diseconomies of scale and process maturity and helps estimate
effort for sizes calculated in terms of SLOC, FPA, Mark IIFP or any other method.
Predictive Object Points: Tuned towards estimation of the object oriented software projects. This method is similar to finding area of a rectangle with length and breadth (Number of entities on one side and depth of inheritance other side. Do we have class digram by the time of estimation?). Calculated based on
weighted methods per class,
count of top level classes,
average number of children, and
depth of inheritance.
Estimation by Analogy: Cost of project is computed by comparing the project to a similar project in the same domain. The estimate is accurate if similar project data is available.
Previous experience will help estimation and also execution due to domain expertise.
2012-08-17 23:43
Estimation Techniques
past (similar) project experience
Reusability / customisation of components
Other conventional estimation techniques
Componentization, Task breakdown and effort estimates
SIZE (e.g., FP) estimates
“Fuzzy logic” sizing
Function point sizing
Standard component sizing
Change sizing
Tools (e.g., Checkpoint)
Examples of Problem-based Estimation
LOC-based estimation
FP-based estimation
Process-Based Estimation
Based on the process that will be used
Estimation Models
E = A + B x (ev)c E – effort in person-months A, B, C are empirically derived constants ev is the estimation variable (either LOC or FP) Examples of LOC-oriented E = 5.2 x (KLOC)0.91 - Walston-Flix model E = 5.5 + 0.73 x (KLOC)1.16 – Bailey-Basili model E = 2.4 x (KLOC)1.05 – Boehm simple model
2012-08-18 00:38
Multipliers reflect the capability of the developers, the non-functional requirements, the familiarity with the development platform, etc. RCPX - product reliability and complexity RUSE - the reuse required PDIF - platform difficulty PREX - personnel experience PERS - personnel capability SCED - required schedule FCIL - the team support facilities PM reflects the amount of automatically generated codev
2012-08-18 00:45
Some cost Factors
TEAM
Personnel/ team capability
Personel Experience
Process capability
Multisite coordination requirements
Tools support on coordination
Installation complexity
Migration complexity
Requirement understanding
Architecture understanding
Complexity
Technology Risk
Documentation
Recursive levels of design
Conceptualization cost
Development cost
OperationalTesting cost
Transition cost
Labour rates
Requirement volatilityv
2012-08-18 01:09
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IFPUG FPA: To measure size of business applications. Introduces complexity factor for size defined as
Object Points: Best suited for estimating customizations. Based on count of raw objects, complexity of each object and weighted points.
E = A + B x (ev)c
E – effort in person-months
A, B, C are empirically derived constants
ev is the estimation variable (either LOC or FP)
Examples of LOC-oriented
E = 5.2 x (KLOC)0.91 - Walston-Flix model
E = 5.5 + 0.73 x (KLOC)1.16 – Bailey-Basili model
E = 2.4 x (KLOC)1.05 – Boehm simple model
RCPX - product reliability and complexity
RUSE - the reuse required
PDIF - platform difficulty
PREX - personnel experience
PERS - personnel capability
SCED - required schedule
FCIL - the team support facilities
PM reflects the amount of automatically generated codev
Some cost Factors
Complexity