Project Size Unit (PSU) page
Project Size Unit (PSU)


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Background :
One of the most relevant issues in Project Management is for sure the Estimation process, determining how much will be effort and costs for next project. PMBOK2004 proposes in Chapter 6.4 three possible techniques: experience, analogy and quantitative techniques.
Sizing metrics such as Function Points (one of the possible FSMM - Functional Size Measurement Methods) are often applied for estimation purposes through regression analysis in order to calculate the approximated effort. But “full” sizing techniques such as FPA can be applied having Software Requirement Specifications as main functional input. During last years, some FPA“early” methods have been proposed (e.g. Early & Quick Function Points - E&QFP), that can be calculated before in the Software Life Cycle, with a lower detail in the Analysis. But some companies cannot (or haven't the possibility due to economical reasons) to spend that amount of time needed for applying also an early-FPA technique and directly will estimate by experience or analogy the effort for next project. Browsing historical project data, often a company will have high MRE (Mean Relative Error) values and it will be more and more difficult to establish a full estimation mechanism based - at least on two historical series (size; effort).
Another point is that an FSMM for its own nature can size only the functional part of a software solution and not the whole.

Project Size Units (PSU) was originated in 2003 to provide a possible answer to this exigency, with the further constraint to do not modify initially the usual way for many project managers to estimate by experience and analogy but moving them progressively towards a more statistical-based way (regression analysis) for making their project estimations. PSU can be defined as a project management technique that allow a Project Manager to associate an early sizing measure to the estimated effort, using a calculation mechanism very close to the FPA one. The entity to be counted and analysed is the “task” derived from the initial project WBS at the bidding phase.

Next table proposes the commonalities and differences between PSU and FPA:

Method \ Elements

Entity

Complexity

Adj. Factor

Complexity

FPA (standard)

Data (ILF, EIF) and Transactions (EI, EO, EQ) related to the functional requirement for a software system

3 levels (H/M/L) for each type of entity.

14 General System Characteristics (GSC)

Weight (0-5) for each one of the 14 GSCs, with a ±35% variability on the value of unadjusted FPs

PSU (early)

Detailed (functional) UR and derived tasks (rule: 1 task = max x m/d) for the technical phases of the SLC.

3 levels (H/M/L) for each detailed UR referring to the number of detailed tasks per UR (and therefore of m/d, statistically derived).

% weighting for evaluating the amount of effort needed in poportion for management and qualitative tasks.

This percentage is derived from the analysis of the historical project database and it is proportional to the number of unadjusted PSUs.

Next table proposes a more general comparison between early sizing methods (such as PSU) and full sizing methods (such as FPA):

 

Early methods (PSU)

Standard methods (FPA)

SLC phase to be applied

Planning (level L-1)

Design (level L-2)

Accuracy level

Lower than standard methods (avg)

Greater than “early” methods (avg)

 

Control parameters for verifying the estimation accuracy

In both cases, MRE and Pred(0.25) values calculated on the estimated effort must be compared with those calculated at the end of the project and the MMRE and Pred(0.25) on the entire set of projects included in the historical project database used for the forecasting system.

 

Information level needed

Documentation from the Bid phase

 

Documentation from the Analysis phase

 

Requested skills for estimation

Project team

Function Points Counter  (preferably a CFPS)

Time needed for estimation

0.5 m/d (per  PSU counting)

1.5-2 m/d (per FPA counting for medium-size projects)

 

Strengths

·  Quick calculation

·  Not requested FPA knowledge

·  Project estimation can be done before the Analysis & Design phase

 

·Greater accuracy in the size calculation to be used for the estimation

·External comparability of results

 

 

Weaknesses

·Lower accuracy in the size calculation to be used for estimation, verification of correlation with “standard” techniques

·Internal Comparability of results

 

·Greater effort for deriving the number of FPs

·Requested the knowledge of FPA

·Project Estimation can be done before starting the Developing phase (Coding)

 

Comments

Experimental & Internal technique

 

 

Consolidated and diffused technique, with counting rules regularly monitored by International bodies.

 

Differently from a 1st generation FSMM (IFPUG, NESMA, Mark-II, …), PSU has its own weighting system that evolves during time, with a periodical updating based on your own historical project data. This allows to obtain a final result in terms of number of sizing units closer and closer to the real project complexity, assuming a greater relevance when referred to data comparability across time. Weights revision is periodically performed (at least twice a year), as well as the possible modification of the number of complexity levels currently determined. This determines that historical series of PSU values can be used only for internal benchmarks, but with a great advantage in terms of effort for calculation and ease of calculation rules.

PSU and FSMM: friends or foes? :
Use of PSU is not necessarily exclusive: indeed, it can be used for the project only in Bid or in the Planning phase, moving to a standard method such as FPA in following phases, up to project closing. Furthermore, PSU can be used as the main measure, and FPA as a control measure, verifying alignment during project life by relating estimated and actual values of project size. This article (in Italian) proposes the way to use jointly the two kind of sizing measures.

PSU Measurement Manual (MM) :
A Measurement Manual (MM) is available for a free download (see in the "Publication" section), containing the rationale for PSU, the counting procedure with examples as well as tips for using PSU for estimation purposes and conversions.
Please, send all comments/feedbacks at my email address
Current version of the Manual is 1.21 available in the following languages: English, Spanish/Castellano and Italian).
Main changes are about:
* improved calculation rule
* how to set up PSU values and weights for your Organization
* how to use PSU with Agile Projects

If you are interested in translating it in another language, please contact me and it will be redistributed through this webpage with your credits.

PSU and Agile Methodologies :
PSU refers to the "project" entity, whatever the SLC adopted. Thus, it can be used also with Agile Methodologies such as XP, Scrum, and other more, proposing a possible solution to some common problem that's the way Estimation is treated in such methods.
Please, take a look at the new Measurement Manual version 1.2, Section 4.10, with a detail about how to apply the general PSU calculation rule to such kind of projects.

Templates :
Click here for downloading a template for a quick PSU calculation.
If you are interested in Agile Methodologies, here you can download a PSU template for Scrum (or other SLC with more iterations)

FAQ - Frequently Asked Questions :

What is PSU?
PSU is a project management technique that allows to associate to the project effort estimated by experience/analogy a size. It can be used yet from the Bid phase, because its main inputs are the initial Customer requirements and the first planning and related WBS by the Project Manager, to be refined during next SLC phases. Thus, it can be identified as an "early sizing" technique.
The iterative use of PSU, combined with Project Management best practices and guidelines, can help the Estimator in improving and detailing at the right level the project WBS, with a proper balance betweent the SLC phases and tasks typologies. The data gathering from past projects into a Project Historical Database (PHD) of both PSU (as the project size measure) and the related effort will allow to estimate next projects using also regression analysis (to be included in what PMBOK2004, Chapter 6.4 calls "quantitative techniques").

Is PSU compatible with FPA and other FSMMs? If yes, how?
Yes. PSU can be used jointly with other FSMMs, because a FSMM can be applied from the Design phase on and not before, using as main input Software Requirement Specifications (SRS) while PSU from the Bid phase on. If an organization applies both (PSU and i.e. FPA), browsing its Project Historical Database (PHD), it could be possible to establish a relationship between the two measures and estimate the approximated number of FSM units (i.e. Function Points for FPA or Cfsu for COSMIC-FFP) through the initial PSU calculation in the Bid phase, where a FSMM calculation could be possible but only for those companies that perform an analysis at the same level of depth than in the Design phase.


Can PSU be a perfect substitute for a FSMM?
It depends. A FSMM measures only the functional side of a software project, starting from functional user requirements (FUR). On the other side, PSU has been created for providing a size for different possible entities: the whole project (PSUp), as well as only the functional part of the project (PSUf), as for a FSMM, allowing a direct comparability. Because of the elementary entity to be measured is the "task", it is also possible to size a "service project": in this case, in the PHD the sizing unit will be labeled (PSUp).

When it is suggested along the SLC to gather PSU in the project?
It is suggested to measure PSUs in three moments: firstly, at the Bid phase; secondly, at the Design phase; finally, at the project closure. The second and third moment are the same for applying FSMMs, allowing the Measurer to compare values among the different methods for establishing convertibility ratios, where appropriate.

Which project documentation is needed?
For new projects, it is sufficient to have the project WBS and estimation assumptions. For closed projects, it will help also to consult the different Plans produced (Project, Quality, Configuration, ...) for extracting possible useful information.

Is it possible to a backfiring calculation from closed project?
Yes. Taking into account the last WBS for a project, the Project Manager can use the same PSU calculation template, considering the eventual decomposition of the tasks (aimed to reduce tasks complexity) in the same way as he/she was drawing the first draft WBS in the Bid phase.

How is it possible to use PSU for effort estimation?
Yes, but the usual way to run regression analysis will represent a "tuning" of the initial effort estimation obtained during the PSU calculation through a comparison with historical data from your Project Historical Database (PHD).

Why quality & mangement (QM) tasks are managed as an "adjustment factor" and not taken into account as well as the technical (T) tasks?
There is a huge habit to underestimate the amount and effort devoted to QM tasks. If those tasks would be managed as well as the technical ones, their contribution will be proportional and quite low. One of PSU goals is to provide - according to each organizational policy - indications about the minimum amount of effort devoted to those tasks and related processes ("secondary" or "support" ones), educating estimators to do not forget to include also these kind of tasks in their plans.

Can be PSU calculated by a Project Management tool?
Yes, it can. Because the entity to work on are tasks, it is possible to implement into a PM tool the PSU calculation rules. Right now, there is an open request for a new functionality to add in GanttProject.
If you are interesting in creating a macro for this or other PM tools (e.g. MS-Project, Primavera, etc.), please send me an email! They will be redistributed as free, open-sourced items.
I've produced a list of requirements for automating PSU, available in Italian, English and Spanish.

Publications / Related Publications :
Buglione L., Dimensionare il software: qual è il giusto "metro"?, White Paper, Bloom.it - Frammenti di Organizzazione Ottobre 2003
Buglione L., PSU e Metriche Funzionali per il Dimensionamento del Software: concorrenti o alleati?, White Paper, Bloom.it - Frammenti di Organizzazione 14 Marzo 2005
Buglione L., Project Size Unit (PSU) - Measurement Manual, v1.01, October 2005, Available versions: English, Spanish/Castellano (transl. Veronica Rubio Rodriguez), Italiano
Buglione L., Dimensionare i progetti: che "metro" usare? XPM.it, Giugno 2006
Buglione L., Project Size Unit (PSU) - Calculation feature in Project Management tools - Requirements, v1.0, December 2006, Available versions: Italian, English and Spanish
Buglione L., Meglio Agili o Veloci? Alcune riflessioni sulle stime nei progetti XP, XPM.it, Febbraio 2007
Buglione L., Project Size Unit (PSU) - Measurement Manual, v1.2, August 2007, Available versions: English, Spanish/Castellano,
Buglione L., Project Size Unit (PSU) - Measurement Manual, v1.21, November 2007, Available versions: English, Spanish/Castellano, Italiano
Racheva Z., Daneva M., Buglione L., Complementing Measurements and Real Options Concepts to Support Inter-iteration Decision-Making in Agile Projects, 34th Euromicro/SEAA 2008, Workshop on Software Management, Parma (Italy), 3-5 September 2008
Racheva Z., Daneva M., Buglione L., Supporting the Dynamic Reprioritization of Requirements in Agile Development of Software Products, IWSPM 2008 , International Workshop on Software Product Management, Barcelona (Spain), 9 September 2008
Buglione L., Cuadrado-Gallego J.J. & Rejas-Muslera R.J., Project Size and Estimating: A Case Study using PSU, IFPUG and COSMIC, Proceedings of IWSM/Metrikon/MENSURA 2008, Munich (Germany), November 18-19 2008
Ormandjieva O., Buglione L., Daneva M., Early Prediction of COSMIC size with PSU from User Functional and Nonfunctional Requirements , Proceedings of IWSM/Metrikon/MENSURA 2008, Munich (Germany), November 18-19 2008


Rubio Rodríguez V., Estudio y aplicación de las PSU (Project Size Unit) para la planificación de Proyectos Software, Universidad de Alcalá de Henares, Escuela Técnica Superior de Ingeniería Informática, Ingeniería Técnica En Informática, Especialidad en Gestión, Trabajo de fin de carrera, Madrid, Junio 2007
Fernández Sanz E.D., Estudio Y Evaluación de PSU (Unidad de Medida de Proyectos) Y Estudio Estadístico de La Conversión De Mediciones PSU a Puntos De Función IFPUG, Universidad de Alcalá de Henares, Escuela Técnica Superior de Ingeniería Informática, Ingeniería Técnica En Informática, Especialidad en Gestión, Trabajo de fin de carrera, Madrid, Junio 2007
Biagiotti C., Migliorare gli aspetti di stima e pianificazione di un progetto attraverso la customizzazione di un toll OpenSource di Project Management, Università di Perugia, Dipartimento di Ingegneria Elettronica e dell'Informazione, Tesi di Laurea, Perugia, Luglio 2007


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Last update: August 13, 2007
Previous update: October 29, 2007
Created on: January 1, 2005

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