Category : Word Processors
Archive   : PCWL103A.ZIP
Filename : REPORT

 
Output of file : REPORT contained in archive : PCWL103A.ZIP

Team Player Design Project

SE 512
Winter 1989
14 March 1989


Section 1 INTRODUCTION


1.1 Definition

Team Player is an on-line system to support rotisserie baseball leagues formed
by sports enthusiasts. A rotisserie league is a simulated baseball league in
which a group of people, participating in a pool, choose teams consisting of
professional baseball players. A draft is held yearly and each participant
sets up their own team (one or more players at each position and several
pitchers). Team Player allows league creation, league modification,
statistical tracking, and report generation on an IBM PC or true compatible.


1.3 Scenario

After the draft has been held, the administrator sets up the league via on-
line entry screens. The information captured for the entire league includes
league name, point distributions (defaults can be used), and the number of
players allowed at each position. Next, information on individual teams is
entered, teams being identified by team name and owner name. The drafted
players are assigned to their individual teams and given a playing position.

Once all the teams have been set up, year-to-date (YTD) statistics are
gathered for all players. Statistics can be input to Team Player either
automatically or manually. For automatic input, the administrator downloads
the YTD statistics from an on-line service such as CompuServe to a text file
that is read by Team Player. If done manually, the software will present
screens for all players whose statistics are being kept. The administrator
will enter values as shown weekly in the newspaper sports section, and the
software will write these values to a text file read by Team Player.



Section 2 REQUIREMENTS SPECIFICATION


2.1 Product Requirements

This section specifies the general requirements for Team Player. Team Player
will:
P-L-+---T1----+-T--2----T----3--T-+----4T---+---T5----+-T--6----T----7--T-+--R

* handle all league transactions and provide means for storage of league data
* provide menu driven, user friendly screens
* provide on-line forms for manual entry of weekly player statistics
* allow automatic entry of weekly player statistics downloaded to a text file
from a sports information service such as CompuServe
* allow manual entry and modification of league data
* provide access and browse of text file for league rules and tutorial
* assign points for each league structure
* calculate weekly point totals
* generate reports
L---+---T1----+-T--2----T----3--T-+----4T---+---T5----+-T--6----T----7--T-+--R


2.2 Context Diagram

The Context Diagram for Team Player is shown in Figure 1. The main
source/sink is the baseball fan who provides all information necessary to
configure the league and who receives reports from the system. Professional
baseball statistics are input to the system either manually from information
taken from the newspaper, or automatically downloaded from a sports
information service such as CompuServe.


2.3 Level 0 Data Flow Diagram

The Team Player Level 0 DFD identifies the three main processes that make up
the system. Each process is reviewed in the following section.


2.4 Process Specifications

Process 1.0 - Configure League:

This process handles all of the functions associated with setting up and
modifying league setups. If a user is setting up a new league this process
steps the user through all the steps required to input the required
configuration data. This data is then stored in the league and team files.
If the user is modifying an existing league then the program prompts the user
through selecting what they want modified and inputs the changes to the league
or team configuration.

PROCESS SPEC:


Process 2.0 - Update Stats:

The purpose of this module is to update the all_players ytd_stats file and
calculate the weekly statistics. The weekly statistics are input by the user
either by prompting the user thru a manual update or by reading in a DOS file
full of the statistics and automatically doing the update. After the update
has been completed the league weekly points are calculated.

PROCESS SPEC 2:

2.1 Get league name and update choice
2.2 Move this weeks all_players_ytd_stats to previous week
2.3 If update choice is manual then do
Step user thru data entry for each player assigned
To a team and store information in
All_players_ytd_stats
Else
Do an automatic update by getting a dos file name
From user and read in statistics from the file.
Store new statistics in all_players_ytd_stats.
2.4 Calculate the weekly point totals for each player and
store in league weekly points


Process 3.0 - Generate Reports:

This procedure allows the user to select a desired item to be reported on and
outputs the desired information. The possible reports to be selected are YTD
league report, weekly league report, YTD team report, weekly team report,
player ranking, and pro player statistics.

PROCESS SPEC:

3.1 PROMPT USER FOR REPORT SELECTION
3.2 IF SELECTION IS YTD LEAGUE REPORT THEN
GET LEAGUE NAME
GET TEAMS ON THE LEAGUE
OUTPUT YTD POINTS FOR THE LEAGUE
3.3 IF SELECTION IS WEEKLY LEAGUE REPORT THEN
GET LEAGUE NAME
GET TEAMS ON THE LEAGUE
OUTPUT WEEKLY TOTALS FOR THE LEAGUE
3.4 IF SELECTION IS YTD TEAM REPORT THEN
GET TEAM NAME
OUTPUT YTD TOTAL FOR TEAM
3.5 IF SELECTION IS WEEKLY TEAM REPORT THEN
GET TEAM NAME
OUTPUT WEEKLY TOTAL FOR TEAM
3.6 IF SELECTION IS PLAYER RANKING
OUTPUT EACH PLAYERS POINT TOTALS STARTING WITH
THE PLAYER WITH THE HIGHEST POINT ALL THE WAY DOWN
TO THE PLAYER WITH THE LOWEST POINTS.
3.7 IF SELECTION IS PRO PLAYER STATISTICS
OUTPUT ALL PLAYERS STATISTICS IN YTD PLAYER STATS.



Section 3 DATA DEFINITIONS


3.1 Data Dictionary

This section includes the Team Player Data Dictionary in DeMarco notation.

LEAGUE_CONFIGURATION = {league_name + league_values + {team_name + owner +
{player_name + position}}}

PLAYER_LIST = {p-id + player_name + position}
ÄÄÄÄ

PRO_TEAM_LIST = {pt-id + pro_team_name}
ÄÄÄÄÄ

TEAM_FILE = {t-id + team_name + owner + league_name} *t-id is unique
ÄÄÄÄ

TEAM_PLAYER_FILE = {t-id + p-id}
ÄÄÄÄ ÄÄÄÄ

ALL_PLAYERS_YTD_STATS = {p-id + position + pt-id + player_stats}
ÄÄÄÄ
alias: professional_statistics

PLAYER_STATS = {sp_stats | rp_stats | bt_stats}

SP_STATS = {wins + losses + earned_runs + innings + complete_games +
strike_outs + walks} * starting pitcher *

RP_STATS = {wins + losses + earned_runs + innings + saves + strike_outs +
walks} * relief pitcher *

BT_STATS = {singles + doubles + triples + home_runs + runs_scored
*batter * + runs_batted_in + stolen_bases}

POSITION = | relief_pitcher = 0 |
| starting_pitcher= 1 |
| first_base = 2 |
| second_base = 3 |
| third_base = 4 |
| catcher = 5 |
| short_stop = 6 |
| left_field = 7 |
| right_field = 8 |
| center_field = 9 |

LEAGUE_ATTRIBUTES = {league_name + league_values}
ÄÄÄÄÄÄÄÄÄÄÄ

LEAGUE_VALUES= point_values_rules + no_pitchers + no_relievers + no_batters


POINT_VALUES_RULES = rules_for_starting_pitchers + rules_for_relief_pitchers
+ rules_for_batters * point values rules for each league *

RULES_FOR_STARTING_PITCHERS = points-for-win-p + points_for_losses-p +
points_for_earned_runs_p + points_for_innings_p +
points_for_complete_games_p + points_for_strikeouts_p +
points_for_walks_p

RULES_FOR_RELIEF_PITCHERS = points-for-win-r + points_for_losses-r +
points_for_earned_runs_r + points_for_innings_r +
points_for_saves + points_for_strikeouts_r +
points_for_walks_r

RULES_FOR_BATTERS = points_for_singles + points_for_doubles +
*all other* points_for_triples + points_for_home_runs +
*positions* points_for_runs_scored + points_for_runs_batted_in +
points_for_stolen_bases

LEAGUE_WEEKLY_POINTS= {t-id + p-id + week + point_totals}
ÄÄÄÄ ÄÄÄÄ ÄÄÄÄ
* details of points for each player for each week *

POINT_TOTALS = {sp_totals | rp_totals | bt_totals}

SP_TOTALS = {wins_points_p + losses_points_p + earned_runs_points-p +
*starting innings_points_p + complete_games_points +
strike_outs_points_p + pitcher* walks_points_p}

RP_TOTALS = {wins_points_r + losses_points_r + earned_runs_points-r +
*relief innings_points_r + saves_points + strike_outs_points_r +
pitcher* walks_points_r}

BT_TOTALS = {singles_points + doubles_points + triples_points +
*batter* home_runs_points + runs_scored_points + runs_batted_in_points +
stolen_bases_points}



3.3 Data Item Definitions

Data Items are defined as follows:

ANY_BINARY = [1|2|3|4|.....|256]

ANY_CHARACTER = [A|B|C|D|E|F|G|H|I|J|K|L|M|N|O|P|Q|R|S|T|U|V|W|X|Y|Z| |]

ANY_DIGIT = [1|2|3|4|5|6|7|8|9|0]

COMPLETE_GAMES = 1{any_digit}2

COMPLETE_GAMES_POINTS = any_binary

DOUBLES = 1{any_digit}2

DOUBLES_POINTS = any_binary

EARNED_RUNS = 1{any_digit}2

EARNED_RUNS_POINTS_P = any_binary

EARNED_RUNS_POINTS_R = any_binary

HOME_RUNS = 1{any_digit}2

HOME_RUNS_POINTS = any_binary

INNINGS = 1{any_digit}2

INNINGS_POINTS_P = any_binary

INNINGS_POINTS_R = any_binary

LEAGUE_NAME = 1{any_character | any_digit}15

LOSSES = 1{any_digit}2

LOSSES_POINTS_P = any_binary

LOSSES_POINTS_R = any_binary

NO_BATTERS = any_binary

NO_PITCHERS = any_binary

NO_RELIEVERS = any_binary

OWNER = 1{any_character}25

P-ID = 1{any_binary}2

PLAYER_NAME = 1{any_character}25

POINTS_FOR_COMPLETE_GAMES_P = any_binary

POINTS_FOR_DOUBLES = any_binary

POINTS_FOR_EARNED_RUNS_P = any_binary

POINTS_FOR_EARNED_RUNS_R = any_binary

POINTS_FOR_HOME_RUNS = any_binary

POINTS_FOR_INNINGS_P = any_binary

POINTS_FOR_INNINGS_R = any_binary WALKS = 1{any_digit}2

POINTS_FOR_LOSSES_P = any_binary WALKS_POINTS_P = any_binary

POINTS_FOR_LOSSES_R = any_binary WALKS_POINTS_R = any_binary

POINTS_FOR_RUNS_BATTED_IN = any_binary WEEK = any_binary

POINTS_FOR_RUNS_SCORED = any_binary WINS = 1{any_digit}2

POINTS_FOR_SAVES = any_binary WINS_POINTS_P = any_binary

POINTS_FOR_SINGLES = any_binary WINS_POINTS_R = any_binary

POINTS_FOR_STRIKEOUTS_P = any_binary

POINTS_FOR_STRIKEOUTS_R = any_binary

POINTS_FOR_TRIPLES = any_binary

POINTS_FOR_WALKS_P = any_binary

POINTS_FOR_WALKS_R = any_binary

POINTS_FOR_WIN_P = any_binary

POINTS_FOR_WIN_R = any_binary

PRO_TEAM_NAME = 1{any_character}25

PT-ID = any_binary

RUNS_BATTED_IN = 1{any_digit}2

RUNS_BATTED_IN_POINTS = any_binary

RUNS_SCORED = 1{any_digit}2

RUNS_SCORED_POINTS = any_binary

SAVES = 1{any_digit}2

SAVES_POINTS = any_binary

SINGLES = 1{any_digit}2

SINGLES_POINTS = any_binary

STOLEN_BASES = 1{any_digit}2

STOLEN_BASES_POINTS = any_binary

STRIKE_OUTS = 1{any_digit}2

STRIKE_OUTS_POINTS_P = any_binary

STRIKE_OUTS_POINTS_R = any_binary

T-ID = any_binary

TEAM_NAME = 1{any_character | any_digit}15

TRIPLES = 1{any_digit}2

TRIPLES_POINTS = any_binary


3.4 Overview of Data Stores

The data stores for Team Player are shown here.


L---+---T1- -T--2----T----3--T-+----4T---+---T5----+-T--6- R
PLAYER_LIST ÚÄÄÄÄÄÄÒÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÂÄÄÄÄÄÄÄÄÄÄ¿
³ p_id º player_name ³ position ³
ÃÄÄÄÄÄÄ×ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄÄ´
³ 1 º Alvin Davis ³ 3 ³
³ 2 º George Brett ³ 5 ³
³ 3 º Mickey Mantle ³ 8 ³
³ 4 º Willie Mays ³ 8 ³
ÀÄÄÄÄÄÄÐÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÁÄÄÄÄÄÄÄÄÄÄÙ


ÚÄÄÄÄÄÒÄÄÄÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄ¿
³p_id ºposition³pt_id³stat1³stat2³stat3³stat4³stat5³stat6³stat7³
ÃÄÄÄÄÄ×ÄÄÄÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄ´
³ 273 º 2 ³ 8 ³ 98 ³ 40 ³ 2 ³ 15 ³ 82 ³ 67 ³ 1 ³
³ 49 º 4 ³ 7 ³ 31 ³ 28 ³ 8 ³ 34 ³ 144 ³ 101 ³ 0 ³
³ 651 º 5 ³ 13 ³ 150 ³ 47 ³ 2 ³ 8 ³ 71 ³ 107 ³ 0 ³
³ 35 º 1 ³ 13 ³ 24 ³ 4 ³ 90 ³ 250 ³ 12 ³ 205 ³ 100 ³
³ 22 º 0 ³ 24 ³ 5 ³ 5 ³ 50 ³ 80 ³ 12 ³ 40 ³ 25 ³
ÀÄÄÄÄÄÐÄÄÄÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÙ


ÚÄÄÄÄÂÄÄÄÄÄÄÂÄÄÄÄÒÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄÂÄÄÄÄÄ¿
³t_id³ p_id ³weekºpt1 ³ pt2 ³ pt3 ³ pt4 ³ pt5 ³ pt6 ³ pt7 ³
ÃÄÄÄÄÅÄÄÄÄÄÄÅÄÄÄÄ×ÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄÅÄÄÄÄÄ´
³ 1 ³ 273 ³ 1 º 10 ³ 2 ³ 6 ³ 8 ³ 3 ³ 3 ³ 0 ³
³ 1 ³ 651 ³ 1 º 6 ³ 2 ³ 0 ³ 0 ³ 5 ³ 4 ³ 2 ³
³ 2 ³ 35 ³ 1 º 26 ³ -10 ³ -6 ³ 8 ³ 0 ³ 7 ³ 3 ³
³ 1 ³ 273 ³ 2 º 3 ³ 2 ³ 0 ³ 0 ³ 4 ³ 2 ³ 1 ³
³ 1 ³ 651 ³ 2 º 8 ³ 0 ³ 3 ³ 4 ³ 3 ³ 3 ³ 1 ³
³ 2 ³ 35 ³ 2 º 0 ³ 0 ³ 0 ³ 0 ³ 0 ³ 0 ³ 0 ³
³ 1 ³ 273 ³ 3 º 6 ³ 0 ³ 0 ³ 8 ³ 3 ³ 3 ³ 1 ³
³ 1 ³ 651 ³ 3 º 5 ³ 6 ³ 3 ³ 0 ³ 2 ³ 1 ³ 0 ³
³ 2 ³ 35 ³ 3 º 0 ³ -10 ³ -5 ³ 4 ³ 0 ³ 4 ³ -6 ³
ÀÄÄÄÄÁÄÄÄÄÄÄÁÄÄÄÄÐÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÁÄÄÄÄÄÙ

PRO_TEAM_LIST ÚÄÄÄÄÄÄÄÄÄÒÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ¿
³ pt_id º pro_team_name ³
ÃÄÄÄÄÄÄÄÄÄ×ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ´
³ 0 º Boston Red Sox ³
³ 1 º New York Yankees ³
³ 2 º Detroit Tigers ³
³ 3 º Cleveland Indians ³
³ 4 º Milwaukee Brewers ³
³ 5 º Baltimore Orioles ³
³ 6 º Toronto Blue Jays ³
³ 7 º Seattle Mariners ³
³ 8 º Chicago White Sox ³
³ 9 º Kansas City Royals ³
³ 10 º California Angels ³
³ 11 º Texas Rangers ³
³ 12 º Oakland Athletics ³
³ 13 º Minnesota Twins ³
³ 14 º New York Mets ³
³ 15 º Philadelphia Phillies ³
³ 16 º St. Louis Cardinals ³
³ 17 º Chicago Cubs ³
³ 18 º Pittsburgh Pirates ³
³ 19 º Montreal Expos ³
³ 20 º Los Angeles Dodgers ³
³ 21 º Houston Astros ³
³ 22 º Cincinnatti Reds ³
³ 23 º San Diego Padres ³
³ 24 º San Francisco Giants ³
³ 25 º Atlanta Braves ³
ÀÄÄÄÄÄÄÄÄÄÐÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÙ





TEAM_FILE
ÚÄÄÄÄÄÄÄÒÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÂÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÂÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ¿
³ t_id º team_name ³ owner ³ league_name ³
ÃÄÄÄÄÄÄÄ×ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ´
³ 0 º Grizzlies ³ Deb Bear ³ Engineers ³
³ 1 º Bat Busters ³ Chris Halasz ³ Crashers ³
³ 2 º Super Cynics ³ Lance Lovick ³ Engineers ³
³ 3 º No Sox ³ Pamela Perrott ³ Engineers ³
³ 4 º Big Boppers ³ Scott Love ³ Crashers ³
ÀÄÄÄÄÄÄÄÐÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÁÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÁÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÙ




TEAM_PLAYER_FILE ÚÄÄÄÄÄÄÄÄÂÄÄÄÄÄÄÄÄÄÄ·
³ t_id ³ p_id º
ÃÄÄÄÄÄÄÄÄÅÄÄÄÄÄÄÄÄÄĶ
³ 1 ³ 50 º
³ 1 ³ 265 º
³ 1 ³ 37 º
³ 1 ³ 28 º
³ 1 ³ 255 º
³ 1 ³ 76 º
³ 2 ³ 81 º
³ 2 ³ 3 º
³ 2 ³ 98 º
ÀÄÄÄÄÄÄÄÄÁÄÄÄÄÄÄÄÄÄĽ



3.5 Database Size Comparisons
L---+---T1----+-T--2----T----3--T-+----4T---+---T5----+-T--6----T----7--T-+--R

When initial system design was completed, the database sizes were as shown in
"before" below. The files were larger than we wanted, so we came up with
changes to decrease storage space. It was decided that 15 bytes was adequate
to store both team and league names, and that a number of other fields could
be reduced as well. Additionally, we included a player list, team list and
pro_team list each with single bit ID's that would be stored in other files.
Net_totals were dropped from league_weekly_points since they can be
calculated. After all changes were made, the sizes were as shown in the
"after" column.

L---+---T1----+-T--2----T----3--T-+----4T---+---T5----+-T--6- R
.s:8
.x:17
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º ³ RECORD ³ RECORD ³ NUMBER ³ TOTAL ³ TOTAL º
º ³ SIZE ³ SIZE ³ OF ³ BYTES ³ BYTES º
º ³ BEFORE ³ AFTER ³ RECORDS ³ BEFORE ³ AFTER º
ÌÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍØÍÍÍÍÍÍÍÍÍÍØÍÍÍÍÍÍÍÍØÍÍÍÍÍÍÍÍÍÍÍØÍÍÍÍÍÍÍÍÍÍÍÍØÍÍÍÍÍÍÍÍÍÍ͹
º ALL_PLAYERS_YTD_STATS = { player_name + ³ 25 ³ ³ ³ ³ º
º p_id + ³ ³ 2 ³ ³ ³ º
º * 2 files like this * position + ³ 1 ³ 1 ³ 625 ³ ³ º
º * are kept, one for * pro_team_name + ³ 25 ³ ³ (times ³ ³ º
º * this week and one * pt_id + ³ ³ 1 ³ 2 ³ ³ º
º * for last week * stats } ³ 2*7 ³ 2*7 ³ files) ³ ³ º
º ³ ³ ³ ³ ³ º
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  3 Responses to “Category : Word Processors
Archive   : PCWL103A.ZIP
Filename : REPORT

  1. Very nice! Thank you for this wonderful archive. I wonder why I found it only now. Long live the BBS file archives!

  2. This is so awesome! 😀 I’d be cool if you could download an entire archive of this at once, though.

  3. But one thing that puzzles me is the “mtswslnkmcjklsdlsbdmMICROSOFT” string. There is an article about it here. It is definitely worth a read: http://www.os2museum.com/wp/mtswslnk/