Home
>
Software
>
A Symons Mark II Function Point Counting Example

A Symons Mark II Function Point Counting Example

I provide, here clear explanations and a count of function points, using the Symons Mark II method.

We start by identifying the subprocesses (entry, exit, read, write) for each functional process; The size of a functional process is the sum of its data movements (entry, exit, read, write) and the size of a piece of software is the sum of the sizes of all of its functional processes.

So the Function Point Index (FPI) for an application is: FPI = Wi * SNi + We * SNe + Wo * SNo, where ‘S‘ means the sum over all Logical Transactions, and the industry average weights per Input Data Element Type, Data Entity Type Reference and Output Data Element Type are, respectively:

Now here is an example of this in practise, intended to demonstrate the practicalities of performing the count, see the Simmons counting point manual (CPM) for information about the rules used.

Specification:
Let us assume a data model for a simple software system intended to keep track of the sales, products, and stock (inventory) of a pizza restaurant.

The system should be able to have sales details entered, including the type and number of each product in each sale This allows a receipt to be printed for the customer.

It also allows the inventory(stock) to be automatically updated. It should be possible to add new products, delete existing products, or modify the recipe of a product. It should be possible to produce a product report listing all the products available.

As well as listing each product, this report will also show, for each product, the product no., the product description, its constituent item nos., item descriptions, and quantity used. A weekly report should be produced automatically, each Monday at 8am, showing the quantity of each product sold in the previous week.

The process of sending orders to suppliers is not shown in the model. This is because each authorised supplier has access to the restaurant system and is expected to dispatch a standard quantity, with its invoice note, when the stocks of any items which it supplies fall below the minimum order quantity. When a consignment arrives from a supplier, it should be possible to enter on the system the details of the items/quantities/prices, so that the inventory(stock) is automatically updated.

At the end of each month the accountant inspects the invoices and pays the bills. It should be possible for her to record that an invoice has been paid. Access to the system is through a single menu.

Generic assumptions:
1) This Function count was obtained using MkII version 1.3.1 of the CPM based on a project viewpoint, only logical transaction sizes are given since there is no data for effort.

2) As per rule 1 of the CPM, only functional requirements directly referenced in the user specification are considered, corrections are only made to provide such functionality therein.

3) Given that there is no historic data about effort required in previous systems, I have used the following industry standards weighing: 0.58 for Wi, 1.66 for We and 0.26 for E0.

4) The intention is to present an abstract, theoretical view of the major entities and relationships needed for management of electronic resources.

5) This pizza restaurant is not very service oriented and does not allow customers to mix and or match toppings.

6) This is a 'McDonald' style system where products are quantity controlled by weight.

Transactional Functions:
[a] Enter sale details (External input);

Assumptions:
1) Receipt number is automatically generated .

2) “Product_Description” is assumed to be a summary entry of about 60 characters, including the name

3)Product entity requires the attribute “Type_Of_Item”, to store category data, there is a distinction between the manufactured goods sold such as soft drinks and the pizzas that are created in-house.

Inputs:
1) Select new sale (control); User action expressed by selection of command [Sale: Receipt_No].

2) Select product type (business); User choses from categorised drop-down list of pizza related product types [Product: Type_Of_Item].

3) Select product “name” (business); User choses from a drop-down list of pizza related goods. [Product: Product_Description > Receipt_No & Product_No].

4) Select number of item (business); Customer may order 3 large margarita pizzas [Item_sale: Quantity_Sold].

5) Confirm sale (control); This is a recursive menu selection system.

Outputs:
1) Error/conformation (control); End of sales data interaction cycle.

Entities:
1) Sale; Occurrence of a sale recorded here [Write All data].

2) Item_sale; Functional relationship to sale entity (List of products for this sales) [Write all data].

3) Recipe; Required to determine the inventory items to be subtracted from the inventory_item entity [Read all data].

4) Inventory_item; Required to change the inventory(stock) level for items used [Read Item_No, Write Quantity_In_Stock] (Quantity of Item x - Recipe:Quantity_Used).

5) System; Provides the automatically generated sales receipt number and Date.

FPI count: (0.58*5) + (1.66 * 5) +(0.26*1) = 11.46

[b] Add new products (External input); Assumptions:
1) Product & item numbers are automatically generated.

2) The inventory included food items and related products such as recipe ingredients for the piazzas and both the can, boxes and plastic utensils.

Inputs:
1) Select new product (control); User action expressed by selection of command [Product: Product_No, Recipe: Item_no, Inventory_item: Item_no].

2) Select type of item (control); Required for product classification [Product: Type_Of_Item > Inventory_item: Type_Of_Item];

2a) Or enter new product type (control);

2b) Enter product type name (business); [Product: Type_Of_Item];

3) Enter product description (business); Product description [Product: Product_Description].

4) Select item (business); [Recipe: Product_no > Inventory_item: item_no].

4a) Or enter Item Description (business); Goods description, [Inventory_item: Item_Description].

4b) Enter stock level (business); [Inventory_item: Quantity_In_Stock].

4c) Enter item reorder level (business); [Inventory_item: Minimum_Order_Quantity].

5) Enter quantity (business); Quantity of the item per sales unit a bit ridiculous for products that do not require ingredients [Recipe: Quantity_Used].

6) Add ingredient to product (control); Optional, not all products require additional items.

6a) Enter Item Description (business); Good description, [Inventory_item: Item_Description].

4b) Enter stock level (business); [Inventory_item: Quantity_In_Stock].

4c) Enter item reorder level (business); [Inventory_item: Minimum_Order_Quantity].

Outputs:
1) Error/conformation (control); End of sales data interaction cycle.

Entities:
1) Product; Occurrence of a product recorded here [Write all data].

2) Recipe; Link entity, for the inventory required to deliver the project [Write all data].

3) Inventory_item; Stores the stock data for the goods ,[Write all data].

4) System; Provides the automatically generated product and item numbers..

FPI count: (0.58*14) + (1.66 * 4) +(0.26*1) = 15.02

[c] Delete existing products (External input); Assumptions:
1) Despite being required to make the system efficient, inventory control operations are not included here.

2) Here Delete refers to the recipe entry.

Inputs:
1) Select product deletion (control); User action expressed by selection of command.

2) Select product type (business); User choses from categorised drop-down list of pizza related product types [Product: Type_Of_Item].

3) Select product “name” (business); User choses from a drop-down list of pizza related goods. [Product: Product_Description > Receipt_No & Product_No].

4) Select deletion (control); “This will delete selected product. Continue [Y/N]”

Outputs:
1) Confirmation to user (control);

Entities:
1) Product; Occurrence of a product recorded here [Read all data];

2) Recipe; Stores the inventory data required for the product, [Read all data].

FPI count: (0.58*4) + (1.66 * 2)+ (0.26*1) = 5.9

[d] Modify product recipe (External input); Assumptions:
1) Recipe refers only to the ingredients and amounts required.

Inputs:
1) Select product Modification (control);

2) Select product type (business); User choses from categorised drop-down list of pizza related product types [Product: Type_Of_Item].

3) Select product “name” (business); User choses from a drop-down list of pizza related goods. [Product: Product_Description >Recipe: Product_No].

4) Select deletion (control); “This will delete selected item. Continue [Y/N]”

5) Change quantity of item (business); User choses from a drop-down list of pizza related goods. [Product: Product_Description > Recipe: Quantity_Used].

6) Add ingredient to product (control); Optional, not all products require additional items.

6a) Enter Item Description (business); Good description, [Inventory_item: Item_Description].

6b) Enter stock level (business); [Inventory_item: Quantity_In_Stock].

6c) Enter item reorder level (business); [Inventory_item: Minimum_Order_Quantity].

Outputs:
1) Confirmation to user (control);

Entities: 1) Product; Occurrence of a product recorded here [Read all data];

2) Recipe; Stores the inventory data required for the product, [Read all data].

FPI count: (0.58*9) + (1.66 * 2) (0.26*1) = 8.8

[e] Report all available products (External output);

Inputs:
1) Select Report products (control); User action expressed by selection of command.

Outputs:
1) Time and date;
2) Heading;
3) Product_No;
4) Product_Description;
5) Item_No;
6) Item_Description;
7) Quantity_Used;

Inventory_item: Type_Of_Item];

2a) Or enter new product type (control);

2b) Enter product type name (business); [Product: Type_Of_Item];

4) Select item (business); [Recipe: Product_no > Inventory_item: item_no].

4a) Or enter Item Description (business); Good description, [Inventory_item: Item_Description].

4b) Enter stock level (business); [Inventory_item: Quantity_In_Stock].

4c) Enter item reorder level (business); [Inventory_item: Minimum_Order_Quantity]. 5) Enter quantity received (business); Additional Quantity of the item [Invoice_item: Quantity_Added> Inventory_item: ].

Outputs:
1) Confirmation to user (control);

Entities:
1) Product; Occurrence of a product recorded here [Read all data];

2) Inventory_item; Stores the inventory data required for the product, [Read all data].

3) Invoice_item; Stores the inventory data required for the product, [Read all data].

FPI count: (0.58*9) + (1.66 * 4) (0.26*1) = 12.12

[i] Record payment of invoices (External input); Inputs:
1) Select orders (control);

2) Select product type (business); User choses from categorised drop-down list of pizza related product types [Inventory_item: Type_Of_Item].

3) Select product “name” (business); User choses from a drop-down list of pizza related goods. Inventory_item: Item_Description > Invoice_item: item_no ].

4) Select payment received (business); User records that an invoice has been paid.

Outputs:
1) Confirmation to user (control);

Entities:
1) Inventory_item; Stores the inventory data required for the product, [Read all data].

2) Invoice_item; Stores the inventory data required for the product, [Read all data].

3) Invoice; Occurrence of a consignment recorded here.

FPI count: (0.58*4) + (1.66 * 3) (0.26*1) = 7.56

Virtual system entity functions:
[a] Generate receipt number (business);
[b] Generate date and time stamp (business);
[c] Error reporting (control);
[d] Generation primary keys indexes (business);
[d] Process conformation (control)

I am the website administrator of the Wandle industrial museum (http://www.wandle.org). Established in 1983 by local people determined to ensure that the history of the valley was no longer neglected but enhanced awareness its heritage for the use and benefits of the community.

efficient cleaning crew Northbrook ..

In The News:

Chinese hackers used Anthropic's Claude AI to launch autonomous cyberattacks on 30 organizations worldwide, marking a major shift in cybersecurity threats.

Apple's new Sleep Score feature gives you a rating for your nightly rest quality. Learn how to set it up on your Apple Watch and iPhone today.

Essential phone settings to enable before losing your device, including Find My network, location services and security features for iPhone and Android.

The Fox News AI Newsletter gives readers the latest AI technology advancements, covering the challenges and opportunities AI presents.

Cybersecurity research shows weak passwords remain a major threat, with simple patterns and number sequences putting millions of accounts at risk.

New Android malware BankBot YNRK silences phones, steals banking data and drains crypto wallets automatically. Learn how this advanced threat works.

FDA approves first human trial for Paradromics' brain-computer interface that could restore speech for paralyzed patients through neural technology.

New phishing platform QRR targets Microsoft 365 users across 1,000 domains in 90 countries. Learn how to spot fake login pages and protect your accounts.

OpenTable now uses AI to track your dining habits and share insights with restaurants. Learn what data they collect and how to protect your privacy.

Google's discontinued Nest thermostats still secretly upload home data to company servers despite losing smart features, raising serious privacy concerns.

New Android malware NGate steals NFC payment codes in real-time, allowing criminals to withdraw cash from ATMs without your card. Learn protection tips.

DoorDash confirms data breach exposing customer names, emails, addresses after social engineering attack. Learn how to protect yourself from scams.

Concerned about Google's AI scanning your Gmail? Learn how to disable Gemini features that access your emails, Drive files and Chat messages for privacy.

Google warns Android users about dangerous fake VPN apps hiding malware that steals passwords, banking details and personal data from phones and tablets.

Apple's digital passport feature lets iPhone users breeze through TSA checkpoints this holiday season using Digital ID technology at 250+ airports.

A new phishing scam targets family photos with fake "Cloud Storage Full" alerts. Criminals steal credit card information through fake sites. Learn protection tips.

South Korean scientists create ultra-thin fabric muscles that turn clothes into robotic assistants, lifting 33 pounds while weighing under half an ounce.

Archer Aviation has acquired Hawthorne Airport for $126M to launch an LA air taxi network ahead of the 2028 Olympics, featuring AI-powered eVTOL operations and next-gen aviation tech.

Stay up to date on the latest AI technology advancements and learn about the challenges and opportunities AI presents now and for the future.

Fake AI apps disguised as "ChatGPT" and "DALL·E" are flooding app stores with dangerous malware that steals data and monitors users without detection.

Fake buyers demand specific vehicle reports from unknown sites to steal credit card information from car sellers, but warning signs can help identify these scams before paying.

Android users can now manage apps across multiple devices more easily with Google Play Store's updated remote uninstall button in the latest update.

NASA's Perseverance rover discovers shiny metallic rock on Mars that could be a meteorite from an ancient asteroid, containing high levels of iron and nickel.

Holiday scams spike during Black Friday and Cyber Monday as criminals exploit your leaked personal data. Learn how to protect yourself from fake stores and phishing.

Commerce Department proposes TP-Link router ban over Chinese security risks. Learn how this potential prohibition could affect your home network and devices.

A Symons Mark II Function Point Counting Example

Software