Royce Edwards. Software Composition Technologies 75 Kentucky Way Freehold, New Jersey, USA

Transcription

1 Royce Edwards Software Composition Technologies 75 Kentucky Way Freehold, New Jersey, USA (voice) (fax)

2 Royce Edwards has taught web site counting for many years at IFPUG events. Royce is now the newest member of IFPUG s Counting Practices Committee (CPC). Today Royce is a mobster and is doing a function point count for a very ypopular p game. He needs your help. 2

3 You are a software professional interested or accomplished in software measurement and wanting to learn how that applies to the web. Today you are participating i with your peers in a full application count of a website. This is the first time IFPUG has ever done this and you are making history. Go home to your companies and tell them about your accomplishments during this conference. 3

4 It s been said that Mob Wars is the most popular p facebook application. Mob Wars has 2.5 million active players and generates an estimated $1 million US to the developers each month. Most new software is web based so software measurement professionals need to have experience in this arena. Working as a team, we ll be able to size this entire application during this presentation. ti This practical experience will show the value of your attendance at ISMA 4 and will give you important career experience. 4

5 Since we have no access to documentation, we skip the first step. We determine the counting scope, boundaries and identify functional user requirements as normal. Since we have no schema or documentation on the data layout, we: Estimate the transactional functions first Measure the data functions Revise our estimate to finalize the measurement of the transactional functions. 5

6 Calculate the functional size of the Mob Wars application. Restrict our measurement to the players view. There is an administrator s view, and possibly others, that we have no access to. The principles p that we apply today could be applied to any of these other user views, including non-human users such as other machines or bots. 6

7 Function point counts can be identified, based on their purpose, as one of the following: Development project function point count Enhancement project function point count Application function point count The counting scope defines the set of Functional User Requirements to be included in the function point count. The boundary is a conceptual interface between the software under study and its users. 7

8 Four pieces of software are used to play Mob Wars Operating systems both client and server outside our boundary Player swebbrowser - outside our boundary facebook Application - outside our boundary - inside our boundary We ll be performing an application function point count today 8

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11 As I pointed out before, we have no development documents. While up to date documentation simplifies our work, out of date or inaccurate documentation ti can make it a nightmare. Even accurate documentation may be impossible to discern without access to a Subject Matter Expert. An example would be a database schema. We would expect something named hash h table to be technical; however, what if we re measuring the local restaurants menu application? 11

12 During our first step of estimating the transactional functions, we record the DETs attempting to assign them logical names. After eliminating duplicates, we assign the DETs to functional groups. We examine the groups to see if RETs exist. Finally, we measure the data functions as we normally would. On the positive side, there is no possibility of technical data being mistaken for DETs. On the negative side, there is a possibility of assigning the same DET two different names and over measuring. 12

13 While IFPUG still doesn t have specific rules for measuring web applications, the New Environments Committee has issued recommendations. First, all of the standard d rules apply regarding elementary process, classification as EQ, EO, or EI, and counting the data elements (DETs). In addition, count one DET for each hyperlink that allows the user to control the accessing of another EQ. Count one DET for the text t of the page itself. Finally, count one FTR for each file read or referenced to retrieve the data requested for the page. 13

14 Each of you has a printed copy of the home page in front of you. Determine the number and type of transactional functions (EI, EO, EQ) on this page. Identify the DETs and FTRs for all of the transactional functions. If possible, determine the complexity. During our next exercise, we ll be breaking into groups so feel free to bounce ideas off your neighbors. We ll take 15 minutes for this exercise. Before we start, t the Godfather wants a word with you.. 14

15 Since you can t click on links and see what happens Starting from the top of the screen clicking on: Mob Wars refreshes this homepage Viking Clan & City of Ash links to other applications outside our boundary my yprofile e& recruit ut links sto other pages inside dethe egame top mobsters links to another page maintained inside the application boundary but outside of the player data ToS displays a maintained text file (subset of help file) help displays a maintained help file Everything on the next double height line is displayed except for (bank) and (hospital) which are hyperlinks inside the game The line starting with Home are all links inside id our game and Home simply refreshes our homepage The numbers separated by a slash like Health: 307/3210 represent two values 307 and 3210 which have been retrieved from an ILF 15

16 The values after more in: are countdown clocks expressed in minute:second Clicking on the Facebook Requests Page hyperlink tk takes you outside tid the application boundary Clicking on the Recruit Mobsters Now! button opens a pop-up p pwhich will publish a message outside the application boundary Clicking on the delete all news link removes all the messages for that t player Clicking any of the delete links next to a message removes only that message 16

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18 Recruit Mobsters Now! Pop-Up Confirmation Message 18

19 How many transactional functions did everyone find and what type were they? How many DETs did everyone find and can you tell me what they were? How many FTRs were involved? Now, the big question, can we definitively tell the complexity of each function, or must we leave this function or functions open as an estimate? As a bonus, can anyone identify an ILF that s used by the application even though none of the elementary processes associated with the home page use it? 19

20 The primary intent of this page is to display information to the user. Since there are several calculations on the page (more in: 03:12) we have an EO. We have one FTR, a player data ILF. The amount of cash I have in my account is an example of player data. Because I have one FTR, once I ve counted at least 20 DETs I can classify this as a average complexity EO and di I m done. Both delete all news and delete are a single EI that update the news stored in the player data ILF. They access only one FTR with three DETs (player name, message id and submit). In the case of delete all news the message id is all. This EI is low complexity. 20

21 Primary Purpose is to send information outside the boundary, thus EQ. One FTR DETs for Player ID, text entered by player, the send button and the confirmation message. This results in a low complexity EQ 21

22 Transactional Function Type DET Count FTR Count Complexity Home Page EO 35 1 Average Delete News EI 3 1 Low Recruit EQ 4 1 Low Seeing the help hyperlink indicates that the program has at least application level help so we will be counting a help ILF later. 22

23 When a project is large or a timeline is short, you can use this technique to bring the project in on time. Ironically, this is based on a software technique known as Mob development. Mob development eliminates chokepoints by using numerous small teams each working on part of the project. One team simply integrates all the results. We ll be using this technique for the second exercise. 23

24 About 11 tabs of information need to be counted. After today, CFPS holders should expect to take 8 hours or less to count applications like this by themselves. Since out timeline is short, we ll use distributed measurement. Break kinto groups of 3 to 4 members and we re going to work the first tab (Jobs) together. I ll Ill be tossing a grenade to one group, don t worry, it s only plastic. The group that gets the grenade answers the question and tosses it to another group. You ll be amazed how quickly this tab is finished! i 24

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26 Primary intent is to display a list of jobs that the player can perform. No calculations are involved, thus EQ. We only count the information below the heading The Job List as the banner information is the same as the home page. One FTR is involved; it is the Main Data that holds all of Mob Wars configurable parameters. The DETs are Job Description, Payout, Experience, Required, Number of Required, Energy, Bonus Item. We also count a DET for the text t on the page and dfor the submit button. Thus, the jobs tab is a low complexity EQ. 26

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28 Primary intent is to update player ILF with the job that has been run (EI). Two FTRs, both Main Data and Player Data. DETs (input side) Job Description, Player ID, Do Job Button, and a confirmation. DETs (output side / confirmation message) Energy, Experience, and a calculated field representing the money earned. Two FTRs, 7 DETs yields an average complexity EI. 28

29 Let s take a quick look at the Jobs Tab and Do Job Action side by side: Transactional Type DET Count FTR Count Complexity Function Jobs Tab EQ 9 1 Low Do Job Action EI 7 2 Average 29

30 Each group will be assigned a tab. When it s completed bring it to me with a list of DETs on the forms provided and you ll be assigned another tab. I ll use the DETs and ILF/EIF information that you supply to organize into RETs and place in the correct data function. After we review the results, we ll discuss techniques for organizing glarger counts. We ll take 30 minutes to work on this in small groups. Please ask me if you run into any problem. 30

31 Areas to count: City Stockpile Fight Hitlist Godfather My Mob my profile recruit top mobsters ToS / help Please work in small groups for 30 minutes 31

32 We ve identified three ILFs and no EIFs. Help is a low complexity ILF, by convention. Player Data - Five RETs, ~ 25 DETs Average Complexity. Main Data To be completed in class when we discuss further techniques for measuring data functions. 32

33 As was said before this technique eliminates all non- functional data. The only problem is the possibility of over counting DETS. Using a simple spreadsheet will allow sorting and can reduce this problem immensely. Having one DET Master whose only job is to review every tab for consistent naming can all but eliminate the problem. Congratulations on counting 33

34 Hints to Counting Web Sites IFPUG New Environments Committee IFPUG Web Site Members Area Counting Practices Manual Version 4.3 IFPUG Counting Practices Committee IFPUG Web Site Members Area Mob Software: The Erotic Life of Code Richard P. Gabriel & Ron Goldman p// / 34

35 I would like to acknowledge two Certified Function Point Specialists for reviewing i this presentation: ti Janet Harris Russac Software Measurement Expertise Jrussac@SoftwareMeasurementExpertise.com (904) Raymond Boehm Software Composition Technologies RayBoehm@SoftCompTech.com (732)