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.

custom home cleaning Winnetka ..

In The News:

Red flags like processing fees, urgent countdowns and requests for full Social Security numbers expose fraudulent settlement sites targeting consumers.

Comprehensive analysis of Google Maps, Waze and Apple Maps examines usability, routing accuracy, data handling and features across the top navigation platforms.

Expert analysis reveals whether wired Ethernet or wireless Wi-Fi connections are safer for home internet use, plus practical steps to secure your network from attackers.

Australian construction robot Charlotte uses sand, crushed brick and recycled glass to 3D print fireproof, floodproof homes with reduced carbon footprint.

Cybercriminals are using fake invitation emails to trick recipients into downloading malware and stealing personal information and data.

Flying drones could help retailers fight a 93% increase in theft rates as Flock Safety promotes airborne security systems to track suspects and deter crime.

The Fox News Artificial Intelligence Newsletter brings you the latest news on the emerging technology every Saturday, highlighting top stories.

Hacker group Radiant stole data from 8,000 children at Kido nursery chain, demanding ransom and directly contacting parents with intimidation tactics.

As 18 states implement bell-to-bell cell phone bans, creative students use Google Docs, iMessage on MacBooks and Post-It notes to stay connected in class.

A sheriff's captain says deputies often spend hours writing reports between calls, but Axon's AI program, Draft One, helps them save crucial time in the field.

Sora 2, OpenAI's new video-generation app, can create AI-generated videos based on a singular prompt. The results are both mind-blowing and terrifying.

iPhone and Android users can reduce Wi-Fi calling battery drainage through settings adjustments, background app limits and stronger Wi-Fi connections.

Work email scams are becoming harder to detect as criminals use AI and spoofed addresses to trick employees into opening malicious attachments and links.

From her Arizona living room, Christina Chapman ran a covert hub that helped North Korean operatives infiltrate U.S. firms, netting $17 million in stolen salaries.

UC Santa Barbara researchers developed a soft robotic intubation system that achieved 100% success rates for experts and 96% for paramedics with minimal training.

Scammers exploit probate filings to target grieving families with fake fees and debts, Kurt "Cyberguy" Knutsson reports.

Automotive giant Stellantis becomes latest victim of widespread Salesforce breaches affecting companies like Google, Cisco and Adidas this year.

A woman from Washington reunited with her missing Maine Coon cat Louie after 11 days using Love Lost, a free AI-powered pet recovery platform.

Expert cybersecurity tips help Mac owners remove malware infections and strengthen defenses with antivirus software, password managers and system updates.

Meta's AI chatbot training rules bans sexual roleplay with minors and block access to child abuse material as regulators scrutinize its safety measures.

Online banking users face a new threat: web injection scams that overlay fake pop-ups to steal logins. Here’s how to spot them and protect your accounts.

Meta introduced Teen Accounts to Facebook and Messenger while launching a School Partnership Program for U.S. educators to report bullying within 48 hours.

Executive order signed by President Donald Trump tasks Robert F. Kennedy Jr.'s MAHA Commission with using AI to find new cures for childhood cancers.

New FileFix attack tricks Facebook and Instagram users into running malicious PowerShell commands disguised as Meta account maintenance to deploy StealC infostealer.

Step-by-step instructions help users migrate to Windows 11 while preserving emails, contacts, documents, and software licenses during the transition.

A Symons Mark II Function Point Counting Example

Software